CN114676168A - Data tracking method and device, electronic equipment and storage medium - Google Patents

Data tracking method and device, electronic equipment and storage medium Download PDF

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CN114676168A
CN114676168A CN202210249046.1A CN202210249046A CN114676168A CN 114676168 A CN114676168 A CN 114676168A CN 202210249046 A CN202210249046 A CN 202210249046A CN 114676168 A CN114676168 A CN 114676168A
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data
tracking
target
result
screened
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阳建林
张芸
杨慧宇
高翔
陈运文
纪达麒
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Datagrand Information Technology Shanghai Co ltd
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Datagrand Information Technology Shanghai Co ltd
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Priority to PCT/CN2022/125000 priority patent/WO2023173733A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2453—Query optimisation
    • G06F16/24534—Query rewriting; Transformation
    • G06F16/24539—Query rewriting; Transformation using cached or materialised query results

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Abstract

The embodiment of the invention discloses a data tracking method and device, electronic equipment and a storage medium. The data tracking method comprises the following steps: acquiring a target summation range matched with target tracking data and the tracking data to be screened; carrying out data primary screening on the to-be-screened tracking data to obtain a primary screening data result; and when the primary screening data result meets the data tracking condition, acquiring a data screening condition matched with the quantity of the to-be-screened tracking data in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data. The technical scheme of the embodiment of the invention can reduce the calculation complexity of data tracking, thereby reducing the calculation power consumption of the data tracking equipment and improving the data processing efficiency of the data tracking equipment.

Description

Data tracking method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a data tracking method and device, electronic equipment and a storage medium.
Background
With the continuous improvement of data processing capacity, data can be backtracked and analyzed by using a data tracking technology, and the real effectiveness of the data is ensured.
In the prior art, tracking of numerical data is mainly realized through a form of summation of a plurality of data, for example, when judging whether summation of two data is equal to a target value, complexity of calculation time is O (n)2) And when judging whether the summation of the three data is equal to the target value or not, the complexity of the calculation time is O (n)3) When it is judged whether the sum of m data is equal to the target value, the calculation time complexity becomes O (n)m). It can be seen that when the number of the summed data increases, the calculation complexity increases exponentially, and the calculation of the large-scale data amount is difficult to deal with under the existing computer hardware condition.
Disclosure of Invention
The embodiment of the invention provides a data tracking method and device, electronic equipment and a storage medium, which can reduce the calculation complexity of data tracking, thereby reducing the calculation power consumption of the data tracking equipment and improving the data processing efficiency of the data tracking equipment.
In a first aspect, an embodiment of the present invention provides a data tracking method, including:
acquiring a target summation range matched with target tracking data and the tracking data to be screened;
performing data primary screening on the to-be-screened tracking data to obtain a primary screening data result;
and when the primary screening data result meets the data tracking condition, acquiring a data screening condition matched with the quantity of the to-be-screened tracking data in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data.
In a second aspect, an embodiment of the present invention further provides a data tracking method, including:
the data acquisition module is used for acquiring a target summation range matched with the target tracking data and the tracking data to be screened;
the data primary screening module is used for performing data primary screening on the to-be-screened tracking data to obtain a primary screening data result;
and the target tracking data acquisition module is used for acquiring data screening conditions matched with the quantity of the tracking data to be screened in the primary screening data results when the primary screening data results meet the data tracking conditions, and performing data screening on the primary screening data results again according to the data screening conditions and the target summation range to obtain the target tracking data.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the data tracing method provided by any of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the data tracking method provided in any embodiment of the present invention.
According to the technical scheme, the target summation range matched with the target tracking data and the tracking data to be screened are obtained, and then the tracking data to be screened is subjected to data primary screening to obtain a primary screening data result, so that when the primary screening data result meets the data tracking condition, the data screening condition matched with the number of the tracking data to be screened in the primary screening data result is obtained, and the data screening is performed on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data. In the scheme, the data irrelevant to the data tracking requirement can be effectively eliminated by primarily screening the data of the to-be-screened tracking data, thereby reducing the data quantity of the primary screening data result of the determined target tracking data, and screening the primary screening data result by using the data tracking condition and the data screening condition, the method can perform higher fine-grained data screening on the primary screening data result by combining the quantity of the to-be-screened tracking data in the primary screening data result on the premise of ensuring that the primary screening data result has target tracking data, solves the problems that the prior art realizes the high calculation complexity of the numerical data tracking in a mode of summing a plurality of data, the problem of high requirement on computer hardware when the number of the summation data is large can reduce the computational complexity of data tracking, therefore, the computational power consumption of the data tracking equipment is reduced, and the data processing efficiency of the data tracking equipment is improved.
Drawings
Fig. 1 is a flowchart of a data tracking method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a data tracking method according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a reverse value data relationship provided in the second embodiment of the present invention;
fig. 4 is a schematic diagram illustrating ascending sort result partitioning according to a second embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a set relationship between a set L and an ascending set S according to a second embodiment of the present invention;
FIG. 6 is a schematic overall flowchart of data tracking according to a second embodiment of the present invention;
fig. 7 is a schematic diagram of a data tracking device according to a third embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of a data tracing method according to an embodiment of the present invention, which is applicable to a situation of data tracing with low computational complexity, and the method can be executed by a data tracing apparatus, which can be implemented by software and/or hardware, and can be generally integrated into an electronic device. The electronic device executing the data tracking method may be a computer device, a server device, or the like, and the embodiment of the present invention does not limit the device type of the electronic device executing the data tracking method. Accordingly, as shown in fig. 1, the method comprises the following operations:
and S110, acquiring a target summation range matched with the target tracking data and the tracking data to be screened.
The target tracking data may be data to be tracked. For example, the target tracking data may include transaction data, model simulation data, and device power consumption scheduling data. The embodiment of the present invention does not limit the data type of the target tracking data. The target summation range may be a range of data associated with the desired tracking data. For example, when the target tracking data is transaction data, the target summing range may be a transaction amount interval of the transaction data to be tracked, and when the target tracking data is device power consumption scheduling data, the target summing range may be a power consumption adjustment interval when the device normally operates. Optionally, the summation base may be determined according to a data tracking requirement of the target tracking data, and then the summation base is respectively subjected to amplification processing and reduction processing according to a preset proportion, so as to obtain an upper threshold (a maximum value of the target summation range) and a lower threshold (a minimum value of the target summation range) of the target summation range. The to-be-screened tracking data can be data which needs to be screened and is associated with the to-be-tracked data, and is used for screening the to-be-tracked data.
In the embodiment of the invention, the target summation range matched with the target tracking data can be determined according to the data tracking requirement of the target tracking data, and the tracking data to be screened can be obtained.
And S120, performing data primary screening on the tracking data to be screened to obtain a primary screening data result.
The preliminary screening data result may be a data screening result obtained by performing primary data screening on the to-be-screened tracking data, and the preliminary screening data result may include all or part of the to-be-screened tracking data.
In the embodiment of the invention, the data primary screening condition for performing the data primary screening on the to-be-screened tracking data can be determined according to the data tracking requirement of the target tracking data, and then the data primary screening is performed on the to-be-screened tracking data according to the data primary screening condition so as to remove the data irrelevant to the target tracking data, and the primary screening data result is obtained.
S130, when the primary screening data result meets the data tracking condition, acquiring a data screening condition matched with the quantity of the tracking data to be screened in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain target tracking data.
The data tracking condition may be a condition for determining that the result of the preliminary screening of the data includes the target tracking data. The data screening condition may be a condition for screening data configured according to the number of the tracking data to be screened in the preliminary screening data result when the preliminary screening data result satisfies the data tracking condition.
In the embodiment of the invention, the data tracking condition can be configured according to the target summation range, so that the preliminary screening data result is judged according to the data tracking condition. When the primary screening data result is determined to meet the data tracking condition, namely when the primary screening data result is determined to include the target tracking data, the quantity of the tracking data to be screened in the primary screening data result is further determined, so that the data screening condition matched with the primary screening data result is obtained according to the quantity of the tracking data to be screened in the primary screening data result, and then the data screening is performed on the primary screening data result again according to the data screening condition matched with the quantity of the tracking data to be screened in the primary screening data result and the target summation range, so that the target tracking data meeting the data tracking requirement is screened.
According to the technical scheme, the target summation range matched with the target tracking data and the tracking data to be screened are obtained, and then the tracking data to be screened is subjected to data primary screening to obtain a primary screening data result, so that when the primary screening data result meets the data tracking condition, the data screening condition matched with the number of the tracking data to be screened in the primary screening data result is obtained, and the data screening is performed on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data. In the scheme, the data which is irrelevant to the data tracking requirement can be effectively eliminated by primarily screening the data of the to-be-screened tracking data, thereby reducing the data amount of the primary screening data result of the determined target tracking data, and screening the primary screening data result by using the data tracking condition and the data screening condition, the method can perform higher fine-grained data screening on the primary screening data result by combining the quantity of the to-be-screened tracking data in the primary screening data result on the premise of ensuring that the primary screening data result has target tracking data, solves the problems that the prior art realizes the high calculation complexity of the numerical data tracking in a mode of summing a plurality of data, the problem of high requirement on computer hardware when the number of the summation data is large can reduce the computational complexity of data tracking, therefore, the computational power consumption of the data tracking equipment is reduced, and the data processing efficiency of the data tracking equipment is improved.
Example two
Fig. 2 is a flowchart of a data tracking method according to a second embodiment of the present invention, which is embodied on the basis of the above-described embodiment, and in this embodiment, a specific optional implementation manner of performing data prescreening on to-be-screened tracking data to obtain a prescreened data result is provided, where the specific process of performing data prescreening on to-be-screened tracking data to obtain a prescreened data result may include: acquiring data tracking time, a local account of the tracking data to be screened, an opposite account of the tracking data to be screened and transaction amount of the tracking data to be screened; and performing data primary screening on the tracking data to be screened according to the data tracking time, the account of the tracking data to be screened, the account of the opposite side of the tracking data to be screened and the transaction amount of the tracking data to be screened to obtain a primary screening data result. Accordingly, as shown in fig. 2, the method comprises the following operations:
s210, obtaining a target summation range matched with the target tracking data and the tracking data to be screened.
S220, obtaining data tracking time, the account of the party of the tracking data to be screened, the account of the opposite party of the tracking data to be screened and the transaction amount of the tracking data to be screened.
The data tracing time may be a time interval determined according to the data tracing requirement. For example, assuming that the generation time of the original transaction data that needs to be tracked, which matches the data tracking requirement, is a, the data tracking time is a period of time after a. The original needs to be tracked may be data generated prior to the target tracking data for generating tracking needs for the target tracking data. The party account may be the transaction issuer. The counter account may be a transaction counterparty that matches the account of the party.
In the embodiment of the invention, the data tracking time of the to-be-screened tracking data to be tracked can be determined according to the data tracking requirement, and then the to-be-screened tracking data is analyzed to determine the local account of the to-be-screened tracking data, the opposite account of the to-be-screened tracking data and the transaction amount of the to-be-screened tracking data.
And S230, performing data primary screening on the tracking data to be screened according to the data tracking time, the account of the party of the tracking data to be screened, the account of the opposite party of the tracking data to be screened and the transaction amount of the tracking data to be screened to obtain a primary screening data result.
In the embodiment of the invention, the generation time of the to-be-screened tracking data can fall into the data tracking time, the local account of the to-be-screened tracking data and the opposite account of the to-be-screened tracking data can be serially connected to form a complete transaction, and the to-be-screened tracking data of which the transaction amount is smaller than the summation base number of the target summation range is screened out as the primary screening data result.
S240, when the primary screening data result meets the data tracking condition, obtaining a data screening condition matched with the quantity of the to-be-screened tracking data in the primary screening data result, and carrying out data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain target tracking data.
In an optional embodiment of the present invention, determining that the result of prescreening data satisfies the data tracking condition may include: determining the total transaction amount of the to-be-screened tracking data in the primary screening data result; acquiring a target summation lower limit matched with the target summation range; and when the total transaction amount is greater than or equal to the target summation lower limit, determining that the primary screening data result meets the data tracking condition.
Wherein the transaction total amount may be a sum of a plurality of transaction amounts. The target lower summation limit may be a lower threshold of the target summation range.
In the embodiment of the invention, the transaction amounts of a plurality of to-be-screened tracking data in the primary screening data result can be summed to obtain the transaction total amount matched with the primary screening data result, the target summation lower limit is further determined according to the lower limit threshold of the target summation range, and when the transaction total amount is greater than or equal to the target summation lower limit, the primary screening data result can be determined to meet the data tracking condition. When the total transaction amount is smaller than the target summation lower limit, it can be determined that the primary screening data result does not meet the data tracking condition, that is, the target tracking data is not included in the characterization primary screening data result.
In an optional embodiment of the present invention, the obtaining of a data screening condition matching the amount of the to-be-screened tracking data in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain target tracking data may include: when the quantity of the tracking data to be screened in the primary screening data result falls into a first quantity range, carrying out random summation processing on the transaction amount of the tracking data to be screened in the primary screening data result to obtain a random summation result; and when the random summation result is determined to fall into the target summation range, determining target tracking data according to the random summation result.
The first number range may be a preset number range, and the target tracking data may be determined directly by summing a plurality of data. Illustratively, the first number range may be less than 3 data, or within 4 data, etc. The random summation process may be for randomly summing a plurality of addends. Exemplarily, assuming that the result of the prescreened data includes the to-be-screened tracking data a, the to-be-screened tracking data B, and the to-be-screened tracking data C, performing the random summation processing on the to-be-screened tracking data in the result of the prescreened data includes: the method comprises the steps of summing the to-be-screened tracking data B and the to-be-screened tracking data C, summing the to-be-screened tracking data A and the to-be-screened tracking data C, summing the to-be-screened tracking data B and the to-be-screened tracking data A, and summing the to-be-screened tracking data A, the to-be-screened tracking data B and the to-be-screened tracking data. The random summation result may be a result of performing a random summation process on the plurality of addends.
In the embodiment of the present invention, the amount of the tracking data to be screened in the primary screening data result may be determined first, and if the amount of the tracking data to be screened in the primary screening data result falls within the first amount range, the transaction amount of the tracking data to be screened in the primary screening data result is further determined, and random summation processing is performed on the transaction amount of the tracking data to be screened in the primary screening data result, so as to obtain at least one random summation result. After each random summation result is obtained, matching processing can be performed on each random summation result and a target summation range, and when it is determined that any random summation result falls into the target summation range, the to-be-screened tracking data in the primary screening data result matched with the random summation result falling into the target summation range is used as target tracking data.
In an optional embodiment of the present invention, the obtaining of a data screening condition matching the amount of the to-be-screened tracking data in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain target tracking data may include: when the quantity of the tracking data to be screened in the primary screening data result is determined to fall into a second quantity range, performing primary random summation processing on the transaction amount of the tracking data to be screened in the primary screening data result according to a target quantity data summation rule to obtain a primary random summation result; when the first random summation result is determined not to fall into the target summation range, determining to-be-rejected tracking data according to the total transaction amount of the tracking data to be screened in the primary screening data result and the target summation range; and eliminating the tracking data to be eliminated in the primary screening data result to obtain the target tracking data.
Wherein the second number range may be a number range determined according to the first number range. The target quantity data summing rule may be a summing rule determined according to the first quantity range. For example, assuming that the first number range is within 4 data, and the first number range includes 4 maximum data amount, the second data range may be (4, N), N is an integer greater than 4, e.g., N may be equal to 9, etc., and the target number data summation rule may sum up 4 addends.
In the embodiment of the present invention, the amount of the tracking data to be screened in the primary screening data result may be determined first, and if the amount of the tracking data to be screened in the primary screening data result falls within the second amount range, the transaction amount of the tracking data to be screened in the primary screening data result is further determined, and the transaction amount of the tracking data to be screened in the primary screening data result is subjected to the first random summation processing, so as to obtain the first random summation result. After a first random summation result is obtained, matching the first random summation result with a target summation range, when the first random summation result is determined not to fall into the target summation range, calculating a lower threshold value of the total transaction amount of the to-be-screened tracking data in the primary screening data result and the target summation range, and a difference value of the total transaction amount of the to-be-screened tracking data in the primary screening data result and an upper threshold value, further determining a to-be-screened tracking data set which enables the summation result of the transaction amount of the to-be-screened tracking data in the primary screening data result to fall into two difference value intervals, taking the determined to-be-screened tracking data set as to-be-rejected tracking data, and rejecting the to-be-rejected tracking data from the primary screening data result to obtain target tracking data.
In an optional embodiment of the present invention, the obtaining of a data screening condition matching the amount of the to-be-screened tracking data in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain target tracking data may include: when the quantity of the tracking data to be screened in the primary screening data result is determined to fall into a third quantity range, performing ascending sorting on the transaction amount of the tracking data to be screened in the primary screening data result to obtain an ascending sorting result; determining a target intermediate value of the ascending sorting result; accumulating the transaction amounts in the ascending sequencing result in the ascending direction and the descending direction by taking the target intermediate value as the center to obtain the transaction amounts to be compared; determining tracking data to be merged according to the transaction amount to be compared, the target summation range and the ascending sequencing result; and when the tracking data to be merged is determined not to be empty, determining target tracking data according to the tracking data to be screened and the tracking data to be merged, which are matched with the transaction amount to be compared.
Wherein the third number range may be a number range determined from the second number range. Illustratively, when the second quantity range is (4, N), the third quantity range may be greater than N, the ascending sort result may be a result of ascending sort the transaction amounts of the trace data to be screened in the preliminary screening data result, the target median value may be a median of the ascending sort result, and, for example, assuming that the transaction amounts of the trace data to be screened are sorted in the ascending sort, the median is the transaction amount in the middle of the ascending sorting result; after sorting the transaction amount data of the even number of the trace data to be screened in an ascending order, the median may be any of two transaction amounts at an intermediate position, the transaction amounts to be compared may be in ascending order and descending order centered on the target median, the tracking data to be merged can be part of the data belonging to the target tracking data.
In the embodiment of the present invention, the amount of the tracking data to be screened in the preliminary screening data result may be determined first, and if the amount of the tracking data to be screened in the preliminary screening data result falls within the third amount range, the transaction amount of the tracking data to be screened in the preliminary screening data result is further determined, and the transaction amount of the tracking data to be screened in the preliminary screening data result is sorted in an ascending order to obtain an ascending order result. After the ascending sorting result is obtained, a target intermediate value of the ascending sorting result can be further determined, the transaction amounts in the ascending direction and the descending direction are further obtained in sequence in an equal number by taking the target intermediate value as the center, and the obtained transaction amounts and the target intermediate value are summed to obtain the transaction amounts to be compared. When the sum of the transaction amount to be compared and the transaction amount of any one piece of tracking data to be screened in the primary screening data result is determined to be larger than or equal to the lower threshold of the target summation range, calculating the difference between the upper threshold of the target summation range and the transaction amount to be compared and the difference between the lower threshold of the target summation range and the transaction amount to be compared, further determining that the random summation result of the transaction amount, which is obtained by dividing the transaction amount to be compared and is added in the ascending sorting result, falls into a tracking data set to be screened of two difference intervals, and taking the determined tracking data set to be screened as the tracking data to be merged. When the tracking data to be merged is determined not to be empty (namely, a random summation result of the transaction amount in the ascending sorting result except the transaction amount for calculating the transaction money to be compared falls into a tracking data set to be screened of two difference intervals), the tracking data to be screened and the tracking data to be merged, which are matched with the transaction amount to be compared, are used as target tracking data.
In an optional embodiment of the present invention, after determining to-be-merged trace data according to the transaction amount to be compared, the target summation range, and the ascending sorting result, the method further includes: when the tracking data to be merged is determined to be empty, accumulating the transaction amount in the ascending sequencing result in the direction from the two ends of the ascending sequencing result to the target intermediate value, and updating the transaction amount to be compared; determining target elimination tracking data according to the updated transaction amount to be compared, the target summation range and the ascending sequencing result; and when the tracking data to be removed is determined not to be empty, determining target tracking data according to the updated transaction amount to be compared and the target removal tracking data.
The target elimination tracking data may be tracking data to be screened, which is matched with part of transaction amount of the transaction data to be compared after calculation and update.
In the embodiment of the invention, when the data to be merged and tracked is determined to be empty according to the transaction amount to be compared, the target summation range and the ascending sorting result, the transaction amount in the ascending sorting result can be accumulated from two ends of the ascending sorting result to the direction of the target middle value, and the transaction amount to be compared is updated. When the updated transaction amount to be compared is determined to be larger than or equal to the upper threshold of the target summation range, the difference value between the updated transaction amount to be compared and the upper threshold of the target summation range and the difference value between the updated transaction amount to be compared and the lower threshold of the target summation range can be further determined, a tracking data set to be screened, which enables the random summation result of the extra transaction amount of the transaction amount to be compared in the ascending sorting result to fall into two difference intervals, is further determined, and the tracking data set to be screened is used as target rejecting tracking data. And when the tracking data to be rejected is determined not to be empty, rejecting the tracking data to be screened, which is matched with the updated transaction amount to be compared, with the target rejection tracking data to obtain the target tracking data. When the tracking data to be eliminated is determined not to be empty, the target tracking data can be determined according to a mode of summation of a plurality of data.
In one specific example, the following four basic attributes exist for a banking transaction: the account of the party, the account of the opposite party, the transaction amount and the transaction time. For example, the amount 100 from account A to account B may be recorded as A->And B (100). Since the fund tracking allows 10% error fluctuation, assume A->B (100) is the original transaction data that needs to be traced, then B->C (90-110) all meet data tracking requirements. Where 90 is the lower threshold of the transaction amount (lower threshold of the target summation range) and is denoted as tmin110 is the transaction amount threshold upper limit (the upper limit threshold of the target summation range) and is marked as tmaxThe target transaction amount (sum base) is marked as t0。
Step 1, screening the to-be-screened tracking data according to the original transaction data generation time needing to be tracked, wherein the transaction data generation time capable of meeting the tracking requirement is inevitably behind the original transaction data generation time needing to be tracked, the account of the party of the to-be-screened tracking data and the account of the opposite party of the to-be-screened tracking data can be connected in series to form a complete transaction flow, and the total transaction amount is less than the target transaction amount t0And taking the tracking data to be screened which are in line with the step 1 as a primary screening data result.
Step 2, assuming that the number of the to-be-screened tracking data in the primary screening data result is N, summing transaction amounts of the N to-be-screened tracking data to obtain Nsum(total amount of transaction), if less than tminIt ends up with no possibility to find a record that meets the data trace requirements.
And 3, adopting different processing strategies according to the size of the N. When N < ═ 4, namely the number of the trace data to be screened in the primary screening data result falls into a first number range, the sum algorithm of N numbers is used for solving (the sum within four numbers is calculated), and the calculation amount is acceptable because the data scale is not large at this time.
Step 4, when 4<N<When the number of the trace data to be screened in the primary screening data result falls into a second number range, 9, firstly using a sum algorithm of n numbers to solve, and if the sum of the n numbers cannot calculate a record meeting the tracing requirement (the first random sum result does not fall into the first random sum result)Target sum range), using Nsum-t0And (5) obtaining a difference value d, solving a solution which enables the sum of partial transaction amounts to be equal to d by using a sum algorithm of N numbers, and if the solution exists, removing the solutions from the N numbers to obtain target tracking data which meet the data tracking requirement. Illustratively, for any 9 numbers n1, n2 … n9, the sum is s, the target value is x, and the difference d is s-x(s) >x) assuming the presence of n (n)>When the sum of the number of (5) is equal to x, there must be 9-n (n)>Sum of 5) numbers equals d, only 9-n (n) needs to be found>5) the sum of the numbers is equal to d, and then the difference set is taken, the relation of s, d and x can be found in fig. 3, as shown in fig. 3, the sum of n1, n2, n3, n4, n5 and n6 is x, the sum of n7, n8 and n9 is d, and the sum of 9 data of n1-n9 is s.
Step 5, when N is>When the number of the trace data to be screened in the preliminary screening data result falls within the third number range, 10, that is, the number of the trace data to be screened in the preliminary screening data result is increased in order according to the size of the N transaction amounts to obtain an increased order set S, as shown in fig. 4, the number N is set as N after N is set to 211,n2,n3...n21Median is n12Sequentially taking values and accumulating from the target middle value to the maximum and minimum sides, namely n12,n13,n11,n14,n10.. remember this set as M, and as Msum. When the accumulation is further increased to a value, M is caused to besumT is greater than or equal tominIn the process, the difference set of all transaction amount sets Q and M of the primary screening data result is recorded as D, and the sum of n numbers of D is calculated to obtain a target value t0-Msum. If the solution exists (the to-be-merged tracing data is not empty), the target tracing data meeting the data tracing requirement is obtained according to the union of M (the transaction amount to be compared) and the solutions (the transaction amount corresponding to the to-be-merged tracing data). Since values near the target median value are preferably selected, it is easier to find a solution that meets the conditions when the sum of n numbers is finally solved.
Step 6, if the target tracking data meeting the data tracking requirement is not successfully obtained in the step 5, the values are accumulated from the two ends of the ascending set S, namely n1,n21,n2,n20.. remember the collectionIs L, and is Lsum. When the accumulation goes to LsumIs greater than or equal to tmaxThen, the sum of n numbers is calculated for L to obtain a target value Lsum-t0. If the solution exists (the target elimination tracking data is not empty), a difference set of L and the solutions is taken, and the tracking data to be screened corresponding to the transaction amount in the obtained difference set is used as the target tracking data. And 6, for the remedy in the step 5, preferentially selecting values at two ends of the candidate set, namely preferentially selecting larger and smaller values, and finally removing corresponding values according to the size of the target value when carrying out reverse value selection. Fig. 5 is a schematic diagram of the relationship between the set L and the ascending set S.
Fig. 6 is a schematic view of an overall process of data tracking according to a second embodiment of the present invention, as shown in fig. 6, the tracking data to be screened may be screened according to the data tracking time, the local account of the tracking data to be screened, the opposite account of the tracking data to be screened, and the transaction amount of the tracking data to be screened, so as to obtain a candidate set (preliminary screening result), and further determine a quantity range in which the quantity of the tracking data to be screened in the candidate set falls, when the quantity of the tracking data to be screened in the candidate set is less than or equal to 4, the target tracking data is determined by calculating the sum of n numbers, and when the quantity of the tracking data to be screened in the candidate set is greater than 4 and less than or equal to 9, the target tracking data is determined by a reverse-value-taking method of the sum of n numbers (specifically, refer to the calculation method in step 4). And when the number of the tracking data to be screened in the candidate set is more than or equal to 10, performing ascending sorting on the transaction amount in the candidate set, further performing summation near a target intermediate value, determining the target tracking data by using the sum of n numbers, and ending if the sum of n numbers has a solution (specifically referring to the calculation mode in the step 5). If the sum of the n numbers has no solution, summing the two ends, and determining the target tracking data by using the sum of the n numbers (specifically referring to the calculation mode in step 6).
According to the technical scheme of the embodiment, by acquiring the target summation range matched with the target tracking data and the tracking data to be screened, further acquiring the data tracking time, the local account of the tracking data to be screened, the opposite account of the tracking data to be screened, and the transaction amount of the tracking data to be screened, so that according to the data tracking time, the account of the local side of the tracking data to be screened, the account of the opposite side of the tracking data to be screened and the transaction amount of the tracking data to be screened, performing data primary screening on the to-be-screened tracking data to obtain a primary screening data result, further determining that the primary screening data result meets the data tracking condition, acquiring data screening conditions matched with the quantity of the tracking data to be screened in the primary screening data result, and performing data screening again on the primary screening data result according to the data screening conditions and the target summation range to obtain target tracking data. In the scheme, the data irrelevant to the data tracking requirement can be effectively eliminated by primarily screening the data of the to-be-screened tracking data, thereby reducing the data amount of the primary screening data result of the determined target tracking data, and screening the primary screening data result by using the data tracking condition and the data screening condition, the method can perform higher fine-grained data screening on the primary screening data result by combining the quantity of the to-be-screened tracking data in the primary screening data result on the premise of ensuring that the primary screening data result has target tracking data, solves the problems that the prior art realizes the high calculation complexity of the numerical data tracking in a mode of summing a plurality of data, the problem of high requirement on computer hardware when the number of the summation data is large can reduce the computational complexity of data tracking, therefore, the computational power consumption of the data tracking equipment is reduced, and the data processing efficiency of the data tracking equipment is improved.
It should be noted that any permutation and combination between the technical features in the above embodiments also belong to the scope of protection of the present invention.
EXAMPLE III
Fig. 7 is a schematic diagram of a data tracking apparatus according to a third embodiment of the present invention, as shown in fig. 7, the apparatus includes: data acquisition module 310, data prescreening module 320 and target tracking data acquisition module 330, wherein:
a data obtaining module 310, configured to obtain a target summation range matched with the target tracking data and the tracking data to be screened;
the data primary screening module 320 is used for performing data primary screening on the to-be-screened tracking data to obtain a primary screening data result;
and the target tracking data obtaining module 330 is configured to, when it is determined that the preliminary screening data result meets the data tracking condition, obtain a data screening condition that matches the number of to-be-screened tracking data in the preliminary screening data result, and perform data screening on the preliminary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data.
According to the technical scheme, the target summation range matched with the target tracking data and the tracking data to be screened are obtained, and then the tracking data to be screened is subjected to data primary screening to obtain a primary screening data result, so that when the primary screening data result meets the data tracking condition, the data screening condition matched with the number of the tracking data to be screened in the primary screening data result is obtained, and the data screening is performed on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data. In the scheme, the data which is irrelevant to the data tracking requirement can be effectively eliminated by primarily screening the data of the to-be-screened tracking data, thereby reducing the data amount of the primary screening data result of the determined target tracking data, and screening the primary screening data result by using the data tracking condition and the data screening condition, the method can perform higher fine-grained data screening on the primary screening data result by combining the quantity of the to-be-screened tracking data in the primary screening data result on the premise of ensuring that the primary screening data result has target tracking data, solves the problems that the prior art realizes the high calculation complexity of the numerical data tracking in a mode of summing a plurality of data, the problem of high requirement on computer hardware when the number of the summation data is large can reduce the computational complexity of data tracking, therefore, the computational power consumption of the data tracking equipment is reduced, and the data processing efficiency of the data tracking equipment is improved.
Optionally, the data prescreening module 320 is specifically configured to obtain data tracking time, a local account of the to-be-screened tracking data, an opposite account of the to-be-screened tracking data, and a transaction amount of the to-be-screened tracking data; and performing data primary screening on the tracking data to be screened according to the data tracking time, the account of the party of the tracking data to be screened, the account of the opposite party of the tracking data to be screened and the transaction amount of the tracking data to be screened to obtain a primary screening data result.
Optionally, the target tracking data obtaining module 330 is specifically configured to determine a total transaction amount of the tracking data to be screened in the preliminary screening data result; acquiring a target summation lower limit matched with the target summation range; and when the total transaction amount is greater than or equal to the target summation lower limit, determining that the preliminary screening data result meets a data tracking condition.
Optionally, the target tracking data obtaining module 330 is specifically configured to, when the number of the tracking data to be screened in the preliminary screening data result falls within a first number range, perform random summation processing on the transaction amount of the tracking data to be screened in the preliminary screening data result to obtain a random summation result; and when the random summation result is determined to fall into the target summation range, determining target tracking data according to the random summation result.
Optionally, the target tracking data obtaining module 330 is specifically configured to, when it is determined that the amount of the tracking data to be screened in the preliminary screening data result falls within a second amount range, perform, according to a target amount data summation rule, first random summation processing on the transaction amount of the tracking data to be screened in the preliminary screening data result, to obtain a first random summation result; when the first random summation result is determined not to fall into the target summation range, determining to-be-rejected tracking data according to the total transaction amount of the tracking data to be screened in the primary screening data result and the target summation range; and rejecting the tracking data to be rejected in the primary screening data result to obtain target tracking data.
Optionally, the target tracking data obtaining module 330 is specifically configured to, when it is determined that the number of the to-be-screened tracking data in the preliminary screening data result falls within a third number range, perform ascending sorting on the transaction amount of the to-be-screened tracking data in the preliminary screening data result to obtain an ascending sorting result; determining a target intermediate value of the ascending sorting result; accumulating the transaction amounts in the ascending sorting result by taking the target intermediate value as a center in the ascending direction and the descending direction to obtain the transaction amounts to be compared; determining to-be-merged tracking data according to the to-be-compared transaction amount, the target summation range and the ascending sorting result; and when the tracking data to be merged is determined not to be empty, determining the target tracking data according to the tracking data to be screened and matched with the transaction amount to be compared and the tracking data to be merged.
Optionally, the target tracking data obtaining module 330 is specifically configured to accumulate the transaction amounts in the ascending sorting result in a direction from two ends of the ascending sorting result to the target middle value when it is determined that the tracking data to be merged is empty, and update the transaction amounts to be compared; determining target elimination tracking data according to the updated transaction amount to be compared, the target summation range and the ascending sorting result; and when the tracking data to be removed is determined not to be empty, determining the target tracking data according to the updated transaction amount to be compared and the target removal tracking data.
The data tracking device can execute the data tracking method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For details of the data tracking method provided in any of the embodiments of the present invention, reference may be made to the technical details not described in detail in this embodiment.
Since the data tracing apparatus described above is an apparatus capable of executing the data tracing method in the embodiment of the present invention, based on the data tracing method described in the embodiment of the present invention, a person skilled in the art can understand the specific implementation of the data tracing apparatus in the embodiment of the present invention and various variations thereof, and therefore, how to implement the data tracing method in the embodiment of the present invention by the data tracing apparatus is not described in detail herein. The device used by those skilled in the art to implement the data tracking method in the embodiments of the present invention is within the scope of the present application.
Example four
Fig. 8 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. FIG. 8 illustrates a block diagram of an electronic device 412 suitable for use in implementing embodiments of the present invention. The electronic device 412 shown in fig. 8 is only an example and should not impose any limitation on the functionality and scope of use of embodiments of the present invention.
As shown in fig. 8, the electronic device 412 is in the form of a general purpose computing device. The components of the electronic device 412 may include, but are not limited to: one or more processors 416, a storage device 428, and a bus 418 that couples the various system components including the storage device 428 and the processors 416.
Bus 418 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
Electronic device 412 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 412 and includes both volatile and nonvolatile media, removable and non-removable media.
Storage 428 may include computer system readable media in the form of volatile Memory, such as RAM (Random Access Memory) 430 and/or cache Memory 432. The electronic device 412 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 434 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, and commonly referred to as a "hard drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk-Read Only Memory (CD-ROM), a Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 418 by one or more data media interfaces. Storage 428 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
Program 436 having a set (at least one) of program modules 426 may be stored, for example, in storage 428, such program modules 426 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination may comprise an implementation of a network environment. Program modules 426 generally perform the functions and/or methodologies of embodiments of the present invention as described herein.
The electronic device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, camera, display 424, etc.), with one or more devices that enable a user to interact with the electronic device 412, and/or with any devices (e.g., network card, modem, etc.) that enable the electronic device 412 to communicate with one or more other computing devices. Such communication may be through an I/O (Input/Output) interface 422. Also, the electronic device 412 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network, such as the internet) via the Network adapter 420. As shown, network adapter 420 communicates with the other modules of electronic device 412 over bus 418. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 412, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, to name a few.
The processor 416 executes various functional applications and data processing by running programs stored in the storage device 428, for example, to implement a data tracking method provided by the above embodiments of the present invention, including: acquiring a target summation range matched with the target tracking data and the tracking data to be screened; carrying out data primary screening on the to-be-screened tracking data to obtain a primary screening data result; and when the primary screening data result meets the data tracking condition, acquiring a data screening condition matched with the quantity of the to-be-screened tracking data in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data.
According to the technical scheme, the target summation range matched with the target tracking data and the tracking data to be screened are obtained, and then the tracking data to be screened is subjected to data primary screening to obtain a primary screening data result, so that when the primary screening data result meets the data tracking condition, the data screening condition matched with the number of the tracking data to be screened in the primary screening data result is obtained, and the data screening is performed on the primary screening data result again according to the data screening condition and the target summation range to obtain the target tracking data. In the scheme, the data which is irrelevant to the data tracking requirement can be effectively eliminated by primarily screening the data of the to-be-screened tracking data, thereby reducing the data amount of the primary screening data result of the determined target tracking data, and screening the primary screening data result by using the data tracking condition and the data screening condition, the method can perform higher fine-grained data screening on the primary screening data result by combining the quantity of the to-be-screened tracking data in the primary screening data result on the premise of ensuring that the primary screening data result has target tracking data, solves the problems that the prior art realizes the high calculation complexity of the numerical data tracking in a mode of summing a plurality of data, the problem of high requirement on computer hardware when the number of the summation data is large can reduce the computational complexity of data tracking, therefore, the computational power consumption of the data tracking equipment is reduced, and the data processing efficiency of the data tracking equipment is improved.
EXAMPLE five
An embodiment of the fifth invention further provides a computer storage medium storing a computer program, where the computer program is used to execute the data tracking method according to any one of the above embodiments of the present invention when executed by a computer processor, and the computer program includes: acquiring a target summation range matched with the target tracking data and the tracking data to be screened; carrying out data primary screening on the to-be-screened tracking data to obtain a primary screening data result; and when the primary screening data result meets the data tracking condition, acquiring data screening conditions matched with the quantity of the to-be-screened tracking data in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening conditions and the target summation range to obtain target tracking data.
Computer storage media for embodiments of the present invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM) or flash Memory), an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for data tracking, comprising:
acquiring a target summation range matched with target tracking data and the tracking data to be screened;
performing data primary screening on the tracking data to be screened to obtain a primary screening data result;
and when the primary screening data result meets the data tracking condition, acquiring a data screening condition matched with the quantity of the to-be-screened tracking data in the primary screening data result, and performing data screening on the primary screening data result again according to the data screening condition and the target summation range to obtain target tracking data.
2. The method according to claim 1, wherein the performing data prescreening on the to-be-screened tracking data to obtain prescreened data results includes:
acquiring data tracking time, a local account of the tracking data to be screened, an opposite account of the tracking data to be screened and transaction amount of the tracking data to be screened;
and performing data primary screening on the tracking data to be screened according to the data tracking time, the account of the current party of the tracking data to be screened, the account of the opposite party of the tracking data to be screened and the transaction amount of the tracking data to be screened to obtain a primary screening data result.
3. The method of claim 1, wherein the determining that the prescreened data result satisfies a data tracking condition comprises:
determining the total transaction amount of the tracking data to be screened in the preliminary screening data result;
acquiring a target summation lower limit matched with the target summation range;
and when the total transaction amount is greater than or equal to the target summation lower limit, determining that the preliminary screening data result meets a data tracking condition.
4. The method according to claim 1, wherein the obtaining of the data screening condition matching with the amount of the tracking data to be screened in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain the target tracking data comprises:
When the quantity of the tracking data to be screened in the primary screening data result falls into a first quantity range, carrying out random summation processing on the transaction amount of the tracking data to be screened in the primary screening data result to obtain a random summation result;
and when the random summation result is determined to fall into the target summation range, determining target tracking data according to the random summation result.
5. The method according to claim 1, wherein the obtaining of the data screening condition matching with the amount of the tracking data to be screened in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain the target tracking data comprises:
when the quantity of the tracking data to be screened in the primary screening data result is determined to fall into a second quantity range, carrying out primary random summation processing on the transaction amount of the tracking data to be screened in the primary screening data result according to a target quantity data summation rule to obtain a primary random summation result;
when the first random summation result is determined not to fall into the target summation range, determining to-be-rejected tracking data according to the total transaction amount of the tracking data to be screened in the primary screening data result and the target summation range;
And rejecting the tracking data to be rejected in the primary screening data result to obtain target tracking data.
6. The method according to claim 1, wherein the obtaining of the data screening condition matching with the amount of the tracking data to be screened in the preliminary screening data result, and performing data screening again on the preliminary screening data result according to the data screening condition and the target summation range to obtain the target tracking data comprises:
when the quantity of the tracking data to be screened in the primary screening data result is determined to fall into a third quantity range, performing ascending sorting on the transaction amount of the tracking data to be screened in the primary screening data result to obtain an ascending sorting result;
determining a target intermediate value of the ascending sorting result;
accumulating the transaction amounts in the ascending sorting result by taking the target intermediate value as a center in the ascending direction and the descending direction to obtain the transaction amounts to be compared;
determining to-be-merged tracking data according to the to-be-compared transaction amount, the target summation range and the ascending sorting result;
and when the tracking data to be merged is determined not to be empty, determining the target tracking data according to the tracking data to be screened and matched with the transaction amount to be compared and the tracking data to be merged.
7. The method of claim 6, further comprising, after said determining to-be-merged trace data based on said transaction amounts to be compared, said target summing range, and said ascending sort result:
when the tracking data to be merged is determined to be empty, accumulating the transaction amount in the ascending sorting result in the direction from the two ends of the ascending sorting result to the target intermediate value, and updating the transaction amount to be compared;
determining target elimination tracking data according to the updated transaction amount to be compared, the target summation range and the ascending sequencing result;
and when the target removing tracking data is determined not to be empty, determining the target tracking data according to the updated transaction amount to be compared and the target removing tracking data.
8. A data tracking device, comprising:
the data acquisition module is used for acquiring a target summation range matched with the target tracking data and the tracking data to be screened;
the data primary screening module is used for carrying out data primary screening on the to-be-screened tracking data to obtain a primary screening data result;
and the target tracking data acquisition module is used for acquiring data screening conditions matched with the quantity of the tracking data to be screened in the primary screening data results when the primary screening data results meet the data tracking conditions, and performing data screening on the primary screening data results again according to the data screening conditions and the target summation range to obtain the target tracking data.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a data tracing method as claimed in any one of claims 1-7.
10. A computer storage medium on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the data tracking method according to any one of claims 1 to 7.
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