CN110347699B - Method and device for determining activity of entity related to identity card - Google Patents
Method and device for determining activity of entity related to identity card Download PDFInfo
- Publication number
- CN110347699B CN110347699B CN201910563667.5A CN201910563667A CN110347699B CN 110347699 B CN110347699 B CN 110347699B CN 201910563667 A CN201910563667 A CN 201910563667A CN 110347699 B CN110347699 B CN 110347699B
- Authority
- CN
- China
- Prior art keywords
- target
- entity
- file
- determining
- identity card
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
Abstract
The application discloses a method and a device for determining activity of entities related to an identity card. The method comprises the following steps: determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; and determining the activity of the target entity according to the target score. By the method and the device, the problem of low query efficiency caused by complex and tedious means for querying the related entities frequently used by a certain person within a period of time through the identity card number in the related technology is solved.
Description
Technical Field
The application relates to the field of information inquiry, in particular to a method and a device for determining activity of entities related to an identity card.
Background
The entity fusion refers to connecting a plurality of entities with high correlation degree with one person, such as passport number, license number, mobile phone Media Access Control (MAC) address, International Mobile Equipment Identity (IMEI), International Mobile Subscriber Identity (IMSI) and the like through identity card numbers.
In the related art, especially in the field of public security investigation, the means of finding the entity frequently used in a current period of time from a plurality of different types of entities of a suspect through the identity number of the suspect is complicated, resulting in low efficiency of querying the related entity.
In view of the above problems in the related art, no effective solution has been proposed.
Disclosure of Invention
The main objective of the present application is to provide a method and an apparatus for determining activity of related entities of an identity card, so as to solve the problem of low query efficiency caused by complicated and tedious means for querying related entities frequently used by a corresponding person for a period of time through an identity card number in related technologies.
To achieve the above object, according to one aspect of the present application, a method for determining activity of an identity card related entity is provided. The method comprises the following steps: determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; and determining the activity of the target entity according to the target score.
Further, before configuring the target file according to the target identification number and the information of the target entity, the method further comprises: acquiring a plurality of target forms, wherein the target forms comprise target identity card numbers and target entities; and obtaining the importance ranking of the target entities, and determining the confidence of each target form according to the ranking.
Further, configuring the target file according to the target identification number and the information of the target entity, including: configuring a query file of a target form, wherein the query file comprises a first configuration operation on a first target form and a second configuration operation on a second target form, the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; configuring a mapping file of a target form; and configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
Further, after configuring the confidence file of the target form according to the confidence of the target form, the method further includes: inquiring each configured target form, and recording a first frequency and a second frequency, wherein the first frequency is the frequency of the first entity appearing in all the target forms, the second frequency is the frequency of the first entity appearing inquired in each target form, and the first entity is any one of the target entities; determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms; determining a second proportion according to the second times, wherein the second proportion is the ratio of the second times to the times of occurrence of all target entities in each target form; the freshness of the first entity is determined based on the time field in the target form.
Further, the method further comprises: performing weighted calculation on the first proportion, the second proportion and the freshness degree to obtain a target score corresponding to the target entity; ranking the plurality of target scores; and determining the activity of the target entity according to the sorting.
To achieve the above object, according to another aspect of the present application, there is provided an apparatus for determining activity of an identity card related entity. The device includes: the first obtaining unit is used for determining a target identity card number and obtaining information of a target entity from a data source according to the target identity card number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; the first configuration unit is used for configuring a target file according to the target identity card number and the information of the target entity; the first determining unit is used for determining a target score of a target entity according to a target file; and the second determining unit is used for determining the activity of the target entity according to the target score.
Further, the apparatus further comprises: the second acquisition unit is used for acquiring a plurality of target forms before configuring a target file according to the information of the target identity card number and the target entity, wherein the target forms comprise the target identity card number and the target entity; and the third acquisition unit is used for acquiring the importance ranking of the target entities and determining the confidence of each target form according to the ranking.
Further, the first configuration unit includes: the first configuration subunit is used for configuring the query file of the target form, and comprises a first configuration operation on a first target form and a second configuration operation on a second target form, wherein the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; the second configuration subunit is used for configuring the mapping file of the target form; and the third configuration subunit is used for configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
To achieve the above object, according to another aspect of the present application, there is provided a storage medium including a stored program, wherein the program performs a method of determining activity of an identity card related entity of any one of the above.
To achieve the above object, according to another aspect of the present application, there is provided a processor, a storage medium including a stored program, wherein the program performs a method of determining activity of an identity card related entity of any of the above.
Through the application, the following steps are adopted: determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; the activity of the target entity is determined according to the target score, the problem that the query efficiency is low due to the complex and tedious means of querying the corresponding related entity frequently used by a certain person within a period of time through the identity card number in the related technology is solved, and the effect of quickly locking the target person according to the identity card number is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a flowchart of a method for determining activity of an identity card-related entity according to an embodiment of the present application; and
fig. 2 is a schematic diagram of an apparatus for determining activity of an identity card related entity according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of description, some terms or expressions referred to in the embodiments of the present application are explained below:
IMEI: an international mobile equipment identity.
IMSI: an international mobile subscriber identity.
And (3) entity fusion: the method is characterized in that a plurality of entities with high correlation degree with one person, such as passport number, license number, mobile phone MAC address, IMEI, IMSI and the like, are connected through identity card numbers.
According to an embodiment of the application, a method for determining activity of an identity card related entity is provided.
Fig. 1 is a flowchart of a method for determining activity of an identity card related entity according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes, and international mobile subscriber identification codes.
Specifically, according to the determined identity card number, a machine learning method is adopted, and a series of entities related to the identity card number are firstly obtained from a data source and inquired through the identity card number, wherein the method comprises the following steps: other associated identification numbers, such as the identification number of a spouse or a parent or child, also include: passport number, license number, mobile phone MAC address, IMEI, IMSI.
And S102, configuring a target file according to the target identity card number and the information of the target entity.
Specifically, in this embodiment, the activity of the entity associated with the identification number is determined in a file configuration manner, so that the target file needs to be configured according to the identification number and the related entity.
Step S103, determining a target score of the target entity according to the target file.
And determining the score of each related entity for representing the liveness according to the configured target file.
And step S104, determining the activity of the target entity according to the target score.
In the above way, under the condition of obtaining the score, the activity of the related entities can be determined according to the score, and which entity is used most in the latest time period of the target person can be obtained through the activity ranking, so as to judge the behavior of the target person.
Optionally, before configuring the target file according to the target identification number and the information of the target entity, the method further includes: acquiring a plurality of target forms, wherein the target forms comprise target identity card numbers and target entities; and obtaining the importance ranking of the target entities, and determining the confidence of each target form according to the ranking.
Specifically, before configuring the file, a table containing the identity card number and other single entities, such as a table containing (identity card number, mobile phone number), (identity card number, license plate number) entity pairs, needs to be found.
Since the confidence of the table is taken as a feature dimension when scoring the relevant entities. Therefore, the importance of the table collected in the first step needs to be scored by combining with manual experience, and the score is used as the confidence of the table. The confidence of the tables is given in advance, the specified confidence score of each table is between 0 and 1, and for the convenience of scoring, the following rules for judging the confidence are made in advance:
(1) the table comparison is active (the addition and deletion are frequently checked) and the field value in the table is credible (the field value is not easy to be counterfeited), and the point can be marked with 1;
(2) the table is not very active, but the field value in the table is credible, and the score can be 0.7 at the moment;
(3) the table is active, but the field value in the table is not very credible, and the score can be 0.4;
(4) the table is not very active and the field values in the table are not very trusted, which can be scored 0.1;
optionally, configuring the target file according to the target identification number and the information of the target entity, including: configuring a query file of a target form, wherein the query file comprises a first configuration operation on a first target form and a second configuration operation on a second target form, the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; configuring a mapping file of a target form; and configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
Specifically, in the obtained target form, in a case that one identification number corresponds to a plurality of entities and a plurality of identification numbers correspond to a plurality of entities, a file configuration mode is proposed in this embodiment to solve the problem. The specific requirements are to configure a "look-up table file", a "table mapping file" and a "table confidence file".
The contents and format of the look-up table file configuration are as follows:
wherein table _ name represents the real name of the table; table _ name _1 represents an alias of table _ name; sjh denotes a mobile phone number identifier; sjh _ field _1 represents the real field name of the phone number; sfzh represents an identification number identifier; sfzh _ field _1 represents the actual identification number field name; cph represents a license plate number identifier; cph _ field _1 represents the name of the number plate field; time represents an identifier of a time field; time _ field represents the time field name.
Look-up table file configuration example:
the above example is a case where one identification number in a table is configured to correspond to a plurality of mobile phone numbers.
The mapping file of the configuration table is as follows:
the content and format of the configuration of the form mapping file are as follows:
wherein table _ name represents the name of the real table; table _ name _1 represents an alias of table _ name; table _ name _2 also represents an alias for table _ name.
Table mapping file configuration example:
further, the content and format of the form confidence file are configured as follows:
{
"table_name":score,
}
wherein table _ name represents the name of the real table; score represents the credible score of the table, and the score value is between 0 and 1.
Table confidence file configuration example:
{
"syz_ssjdcxx":7,
}
optionally, after configuring the confidence file of the target form according to the confidence of the target form, the method further includes: inquiring each configured target form, and recording a first frequency and a second frequency, wherein the first frequency is the frequency of the first entity appearing in all the target forms, the second frequency is the frequency of the first entity appearing inquired in each target form, and the first entity is any one of the target entities; determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms; determining a second proportion according to the second times, wherein the second proportion is the ratio of the second times to the times of occurrence of all target entities in each target form; the freshness of the first entity is determined based on the time field in the target form.
Specifically, after the target file configuration is performed on the form of the related entity, the method further includes querying each configured form, and two things are performed in the querying process: recording the times of occurrence of each queried entity (e.g., mobile phone number) in different tables; the number of times the entity appears is looked up in each table is recorded.
In this embodiment, the final score of the entity is considered from four dimensions, including: the DF score of an entity (first ratio), the TF score of an entity (second ratio), the confidence of the table in which the entity is located, and the freshness of the entity.
The entity DF score is the ratio of the number of appearance of the entity value across tables to the total number of the entity tables, and the specific calculation formula is as follows: DF is the number of times an entity value appears across the table/total number of entity tables.
The entity TF score is the ratio of the number of times of an entity value appearing in a certain table to the number of times of other entity values appearing in the table, and the specific calculation formula is as follows: TF is the number of times a certain entity value appears in a certain form/the number of all entity values in the form.
And (3) calculating the entity freshness: taking a mobile phone number as an example, if a mobile phone number appears in a list for multiple times, the latest appearing time of the mobile phone number is taken to evaluate the freshness of the mobile phone number, and the specific evaluation mode is as follows:
wherein, T0For the initial score, the value may be set to 1, t-t when actually used0For the days of the interval, α is the attenuation coefficient.
It should be noted that, in this embodiment, when scoring an entity, the freshness of the entity is considered as a feature dimension in the scoring process, and the dimension uses the time field in the relevant table, so if a table does not have a time field, the table cannot be used.
Optionally, the method further comprises: performing weighted calculation on the first proportion, the second proportion and the freshness degree to obtain a target score corresponding to the target entity; ranking the plurality of target scores; and determining the activity of the target entity according to the sorting.
Specifically, scoring the entities of the single form according to the obtained first proportion, second proportion and freshness includes: each query result in the single table is scored as 0.25 TF +0.35 DF +0.25 freshness activity +0.15 table confidence, where 0.25, 0.35, 0.25, and 0.15 are weights of TF, DF, freshness activity, and table confidence, respectively, and the weights may be adjusted according to a specific usage scenario.
It should be noted that, through the foregoing steps, it is possible for a single entity to have scores in multiple tables, and the highest score is taken as the final score of the entity value, i.e., the target score. The target scores of the entities are sorted from high to low, so that the entity with the highest target score, namely the entity with the highest utilization rate of the target person in a period of time, can be obtained.
The method for determining the activity of the entity related to the identity card, provided by the embodiment of the application, acquires the information of the target entity from the data source according to the target identity card number by determining the target identity card number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; the activity of the target entity is determined according to the target score, the problem that the query efficiency is low due to the complex and tedious means of querying the corresponding related entity frequently used by a certain person within a period of time through the identity card number in the related technology is solved, and the effect of quickly locking the target person according to the identity card number is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It should be noted that the apparatus for determining activity of an identity card related entity of the embodiment of the present application may be used to execute the method for determining activity of an identity card related entity provided in the embodiment of the present application. The following describes an apparatus for determining activity of an entity related to an identity card according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an apparatus for determining activity of an identity card related entity according to an embodiment of the present application. As shown in fig. 2, the apparatus includes: a first obtaining unit 201, configured to determine a target identification number, and obtain information of a target entity from a data source according to the target identification number, where the target entity includes at least one of: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; a first configuration unit 202, configured to configure a target file according to the target identification number and the information of the target entity; a first determining unit 203, configured to determine a target score of a target entity according to a target file; a second determining unit 204, configured to determine the activity of the target entity according to the target score.
The apparatus for determining the activity of an entity related to an identity card provided by the embodiment of the present application is configured to, by a first obtaining unit 201, determine a target identity card number, and obtain information of a target entity from a data source according to the target identity card number, where the target entity includes at least one of: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; a first configuration unit 202, configured to configure a target file according to the target identification number and the information of the target entity; a first determining unit 203, configured to determine a target score of a target entity according to a target file; the second determining unit 204 is configured to determine the activity of the target entity according to the target score, so as to solve the problem of low query efficiency caused by complex and tedious means for querying a corresponding related entity frequently used by a certain person for a period of time through the identification number in the related art, and further achieve an effect of quickly locking a related target person according to the identification number.
Optionally, the apparatus further comprises: the second acquisition unit is used for acquiring a plurality of target forms before configuring a target file according to the information of the target identity card number and the target entity, wherein the target forms comprise the target identity card number and the target entity; and the third acquisition unit is used for acquiring the importance ranking of the target entities and determining the confidence of each target form according to the ranking.
Optionally, the first configuration unit 202 includes: the first configuration subunit is used for configuring the query file of the target form, and comprises a first configuration operation on a first target form and a second configuration operation on a second target form, wherein the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; the second configuration subunit is used for configuring the mapping file of the target form; and the third configuration subunit is used for configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
Optionally, the apparatus further comprises: the query unit is used for querying each configured target form after configuring the confidence file of the target form according to the confidence of the target form, and recording a first time and a second time, wherein the first time is the time of occurrence of a first entity in all the target forms, the second time is the time of occurrence of the first entity queried in each target form, and the first entity is any one of the target entities; the third determining unit is used for determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms; the fourth determining unit is used for determining a second proportion according to the second times, wherein the second proportion is the ratio of the second times to the times of occurrence of all the target entities in each target form; and the fifth determining unit is used for determining the activity of the first entity according to the time field in the target form.
Optionally, the apparatus further comprises: the fourth acquisition unit is used for carrying out weighted calculation on the first proportion, the second proportion and the activity to obtain a target score corresponding to the target entity; a ranking unit for ranking the plurality of target scores; and the sixth determining unit is used for determining the activity of the target entity according to the sorting.
The device for determining the activity of the identity card related entity comprises a processor and a memory, wherein the first acquiring unit 201, the first configuring unit 202, the first determining unit 203 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem of low query efficiency caused by complicated and tedious means of querying a corresponding related entity frequently used by a certain person within a period of time through the identity card number in the related technology is solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium, on which a program is stored, where the program, when executed by a processor, implements the method for determining activity of an entity associated with an identity card.
The embodiment of the invention provides a processor, which is used for executing a program, wherein the method for determining the activity of an identity card related entity is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; and determining the activity of the target entity according to the target score.
Optionally, before configuring the target file according to the target identification number and the information of the target entity, the method further includes: acquiring a plurality of target forms, wherein the target forms comprise target identity card numbers and target entities; and obtaining the importance ranking of the target entities, and determining the confidence of each target form according to the ranking.
Optionally, configuring the target file according to the target identification number and the information of the target entity, including: configuring a query file of a target form, wherein the query file comprises a first configuration operation on a first target form and a second configuration operation on a second target form, the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; configuring a mapping file of a target form; and configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
Optionally, after configuring the confidence file of the target form according to the confidence of the target form, the method further includes: inquiring each configured target form, and recording a first frequency and a second frequency, wherein the first frequency is the frequency of the first entity appearing in all the target forms, the second frequency is the frequency of the first entity appearing inquired in each target form, and the first entity is any one of the target entities; determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms; determining a second proportion according to the second times, wherein the second proportion is the ratio of the second times to the times of occurrence of all target entities in each target form; the freshness of the first entity is determined based on the time field in the target form.
Optionally, the method further comprises: performing weighted calculation on the first proportion, the second proportion and the freshness degree to obtain a target score corresponding to the target entity; ranking the plurality of target scores; and determining the activity of the target entity according to the sorting. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes; configuring a target file according to the target identity card number and the information of the target entity; determining a target score of a target entity according to a target file; and determining the activity of the target entity according to the target score.
Optionally, before configuring the target file according to the target identification number and the information of the target entity, the method further includes: acquiring a plurality of target forms, wherein the target forms comprise target identity card numbers and target entities; and obtaining the importance ranking of the target entities, and determining the confidence of each target form according to the ranking.
Optionally, configuring the target file according to the target identification number and the information of the target entity, including: configuring a query file of a target form, wherein the query file comprises a first configuration operation on a first target form and a second configuration operation on a second target form, the first target form comprises one identity number and a plurality of target entities, and the second target form comprises a plurality of identity numbers and a plurality of target entities; configuring a mapping file of a target form; and configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
Optionally, after configuring the confidence file of the target form according to the confidence of the target form, the method further includes: inquiring each configured target form, and recording a first frequency and a second frequency, wherein the first frequency is the frequency of the first entity appearing in all the target forms, the second frequency is the frequency of the first entity appearing inquired in each target form, and the first entity is any one of the target entities; determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms; determining a second proportion according to the second times, wherein the second proportion is the ratio of the second times to the times of occurrence of all target entities in each target form; the freshness of the first entity is determined based on the time field in the target form.
Optionally, the method further comprises: performing weighted calculation on the first proportion, the second proportion and the freshness degree to obtain a target score corresponding to the target entity; ranking the plurality of target scores; and determining the activity of the target entity according to the sorting.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (6)
1. A method for determining activity of an entity associated with an identity card, comprising:
determining a target identification number, and acquiring information of a target entity from a data source according to the target identification number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes;
obtaining a plurality of target forms, wherein the target forms comprise the target identity card numbers and the target entities; obtaining the importance ranking of the target entities, and determining the confidence of each target form according to the ranking;
configuring a target file according to the target identity card number and the information of the target entity;
determining a target score of the target entity according to the target file;
determining the activity of the target entity according to the target score;
configuring a target file according to the target identity card number and the information of the target entity, wherein the configuration comprises the following steps:
configuring a query file of the target form, wherein the query file comprises a first configuration operation on a first target form and a second configuration operation on a second target form, the first target form comprises one identification number and a plurality of target entities, and the second target form comprises a plurality of identification numbers and a plurality of target entities;
configuring a mapping file of the target form;
and configuring a confidence level file of the target form according to the confidence level of the target form, wherein the query file, the mapping file and the confidence level file form the target file.
2. The method of claim 1, wherein after configuring the confidence file for the target form based on the confidence of the target form, the method further comprises:
inquiring each configured target form, and recording a first time and a second time, wherein the first time is the number of times that a first entity appears in all the target forms, the second time is the number of times that the first entity inquired in each target form appears, and the first entity is any one of the target entities;
determining a first proportion according to the first times, wherein the first proportion is the ratio of the first times to the total number of all the target forms;
determining a second proportion according to the second secondary number, wherein the second proportion is the ratio of the second secondary number to the occurrence frequency of all the target entities in each target form;
and determining the freshness of the first entity according to the time field in the target form.
3. The method of claim 2, further comprising:
performing weighted calculation on the first proportion, the second proportion and the freshness degree to obtain a target score corresponding to the target entity;
ranking a plurality of the target scores;
and determining the activity of the target entity according to the sorting.
4. An apparatus for determining activity of an entity associated with an identification card, comprising:
the first obtaining unit is used for determining a target identity card number and obtaining information of a target entity from a data source according to the target identity card number, wherein the target entity comprises at least one of the following: other identification numbers, passport numbers, license numbers, mobile phone MAC addresses, international mobile equipment identification codes and international mobile subscriber identification codes;
a second obtaining unit, configured to obtain a plurality of target forms before configuring a target file according to the information of the target identification number and the target entity, where the target forms include the target identification number and the target entity;
the third acquisition unit is used for acquiring the importance ranking of the target entities and determining the confidence of each target form according to the ranking;
the first configuration unit is used for configuring a target file according to the target identity card number and the information of the target entity;
the first determining unit is used for determining a target score of the target entity according to the target file;
a second determining unit, configured to determine the activity of the target entity according to the target score;
the first configuration unit includes: the first configuration subunit is configured to configure the query file of the target form, and includes performing a first configuration operation on a first target form and performing a second configuration operation on a second target form, where the first target form includes an identity card number and a plurality of target entities, and the second target form includes a plurality of identity card numbers and a plurality of target entities; the second configuration subunit is used for configuring the mapping file of the target form; and the third configuration subunit is configured to configure a confidence level file of the target form according to the confidence level of the target form, where the query file, the mapping file, and the confidence level file constitute the target file.
5. A storage medium comprising a stored program, wherein the program performs a method of determining activity of an identity card-related entity as claimed in any one of claims 1 to 3.
6. A processor configured to execute a program, wherein the program when executed performs a method of determining activity of an identity card-related entity as claimed in any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910563667.5A CN110347699B (en) | 2019-06-26 | 2019-06-26 | Method and device for determining activity of entity related to identity card |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910563667.5A CN110347699B (en) | 2019-06-26 | 2019-06-26 | Method and device for determining activity of entity related to identity card |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110347699A CN110347699A (en) | 2019-10-18 |
| CN110347699B true CN110347699B (en) | 2022-01-28 |
Family
ID=68183250
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910563667.5A Active CN110347699B (en) | 2019-06-26 | 2019-06-26 | Method and device for determining activity of entity related to identity card |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110347699B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101183375A (en) * | 2006-11-17 | 2008-05-21 | 国际商业机器公司 | Tracking entities during identity resolution |
| CN106164889A (en) * | 2013-12-02 | 2016-11-23 | 丘贝斯有限责任公司 | System and method for internal storage data library searching |
| CN106227800A (en) * | 2016-07-21 | 2016-12-14 | 中国科学院软件研究所 | The storage method of the big data of a kind of highlights correlations and management system |
| CN109753517A (en) * | 2018-12-06 | 2019-05-14 | 北京明略软件系统有限公司 | A kind of method, apparatus, computer storage medium and the terminal of information inquiry |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10148777B2 (en) * | 2016-05-23 | 2018-12-04 | Microsoft Technology Licensing, Llc | Entity based search retrieval and ranking |
-
2019
- 2019-06-26 CN CN201910563667.5A patent/CN110347699B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101183375A (en) * | 2006-11-17 | 2008-05-21 | 国际商业机器公司 | Tracking entities during identity resolution |
| CN106164889A (en) * | 2013-12-02 | 2016-11-23 | 丘贝斯有限责任公司 | System and method for internal storage data library searching |
| CN106227800A (en) * | 2016-07-21 | 2016-12-14 | 中国科学院软件研究所 | The storage method of the big data of a kind of highlights correlations and management system |
| CN109753517A (en) * | 2018-12-06 | 2019-05-14 | 北京明略软件系统有限公司 | A kind of method, apparatus, computer storage medium and the terminal of information inquiry |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110347699A (en) | 2019-10-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11087329B2 (en) | Method and apparatus of identifying a transaction risk | |
| CN106547784B (en) | Data splitting and storing method and device | |
| CN110609941B (en) | Risk identification method and device for Internet operation event | |
| CN106897335B (en) | Service data storage method, record identifier generation method and device | |
| CN110691082B (en) | Risk event processing method and device | |
| CN113312361B (en) | Track query method, device, equipment, storage medium and computer program product | |
| KR102110642B1 (en) | Password protection question setting method and device | |
| JP2018515845A (en) | Method and apparatus for recording and restoring click position on web page | |
| CN107818116B (en) | Method and equipment for determining user behavior area position information | |
| CN111784468B (en) | Account association method and device and electronic equipment | |
| CN114297719A (en) | Data desensitization method and device, storage medium and electronic equipment | |
| CN110347699B (en) | Method and device for determining activity of entity related to identity card | |
| CN109582834B (en) | Data risk prediction method and device | |
| CN111177093A (en) | Method, device and medium for sharing scientific and technological resources | |
| CN111125087B (en) | Data storage method and device | |
| CN108021464B (en) | Bottom-pocketing processing method and device for application response data | |
| CN110019544B (en) | Data query method and system | |
| CN109598525B (en) | Data processing method and device | |
| CN106454884A (en) | Method for distinguishing homonymous wireless access points and equipment thereof | |
| CN108171559B (en) | User level processing and target object pushing method and device | |
| CN108076450B (en) | Method and device for identifying same user | |
| CN107291712B (en) | Data generation method and device | |
| CN110334909B (en) | Risk management and control method, device and equipment | |
| CN110796491B (en) | Advertisement putting method and device | |
| CN113468384A (en) | Network information source information processing method, device, storage medium and processor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220610 Address after: 15, second floor, east side of clean coal workshop, No. 68, Shijingshan Road, Shijingshan District, Beijing 100043 (cluster registration) Patentee after: Beijing Zhizhi Heshu Technology Co.,Ltd. Address before: A1002, 10th floor, building 1, yard 1, Zhongguancun East Road, Haidian District, Beijing 100086 Patentee before: MININGLAMP SOFTWARE SYSTEMS Co.,Ltd. |