CN110532302B - Audit method, system and readable storage medium - Google Patents
Audit method, system and readable storage medium Download PDFInfo
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- CN110532302B CN110532302B CN201910815699.XA CN201910815699A CN110532302B CN 110532302 B CN110532302 B CN 110532302B CN 201910815699 A CN201910815699 A CN 201910815699A CN 110532302 B CN110532302 B CN 110532302B
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- 238000012550 audit Methods 0.000 title claims abstract description 106
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000004364 calculation method Methods 0.000 claims abstract description 77
- 230000011218 segmentation Effects 0.000 claims abstract description 53
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000005457 optimization Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
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- 238000007726 management method Methods 0.000 description 2
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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
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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Abstract
The invention provides an auditing method, system and readable storage medium, wherein the method comprises the following steps: obtaining an audit data text; word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number; determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result.
Description
Technical Field
The invention relates to the technical field of auditing, in particular to an auditing method, an auditing system and a readable storage medium.
Background
In recent years, along with the rapid development of computer technology and informatization construction, the informatization breadth and depth of economic management activities are also advanced, and the economic management activities are used as auditing of economic activity supervision, evaluation and authentication, so that the conventional manual auditing can not adapt to the auditing requirements under informatization conditions, and the informatization of auditing objects and the development of auditing themselves all require that auditing operation modes must be advanced with time, and corresponding adjustment is made. Therefore, the method conforms to the informatization development trend, updates the audit supervision idea and innovates the audit method.
How to provide a method for extracting audit data from texts containing the audit data and performing corresponding calculation to help traditional manual audit, thereby improving audit mode and audit efficiency is a problem to be solved at present.
Disclosure of Invention
To solve at least one of the above technical problems, the present invention proposes an auditing method, system and readable storage medium.
To achieve the above object, a first aspect of the present invention proposes an auditing method, the method comprising:
obtaining an audit data text;
word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number;
determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result.
Further, after the obtaining the data set to be examined, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing.
Further, the determining the data to be inspected, which accords with the auditing rule, includes:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
and when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to the auditing rule.
Further, the determining the matching degree of the feature data of the data to be checked and the matching feature includes:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked.
Further, before the applying the calculation formula and performing corresponding calculation according to the number corresponding to the audit data type, the method further includes:
determining a first format of the number;
determining a second format of the number corresponding to the calculation formula;
judging whether the first format and the second format are the same, if not, converting the first format into the second format;
correspondingly, the applying the calculation formula, and performing corresponding calculation according to the numbers corresponding to the audit data types, includes:
and carrying out corresponding calculation according to the numbers in the second format corresponding to the audit data type by using the calculation formula.
The second aspect of the present invention also proposes an auditing system, including: the system comprises a memory and a processor, wherein the memory comprises an auditing method program which is executed by the processor to realize the following steps:
obtaining an audit data text;
word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number;
determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result.
Further, after the obtaining the data set to be examined, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing.
Further, the determining the data to be inspected, which accords with the auditing rule, includes:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
and when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to the auditing rule.
Further, the determining the matching degree of the feature data of the data to be checked and the matching feature includes:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked.
The third aspect of the present invention also proposes a computer-readable storage medium, in which an auditing method program is included, which, when executed by a processor, implements the steps of an auditing method as described in any of the above.
The embodiment of the invention provides an auditing method, an auditing system and a storage medium, which are used for acquiring audit data text; word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number; determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result. By the auditing method, the extraction of relevant data from the auditing data text is realized, corresponding calculation is carried out according to the type of the relevant data, and an auditing result is obtained, so that manual auditing is facilitated, the labor cost is saved, and the auditing efficiency is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic flow chart of an auditing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an audit system according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
FIG. 1 is a schematic flow chart of an auditing method according to an embodiment of the present invention; as shown in fig. 1, the method can be applied to loading intelligent electronic devices such as servers, computers and the like of an auditing system; the method comprises the following steps:
and 101, acquiring audit data text.
102, word segmentation processing is carried out on the audit data text to obtain word segmentation results; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: the data type and its corresponding number are audited.
Step 103, determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result.
Specifically, after the obtaining the data set to be examined in step 101, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing.
Step 103, determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result, wherein the audit result is carried out on the target data set to be inspected.
The target data set to be inspected comprises at least one group of data to be inspected; the data to be examined comprises: the data type and its corresponding number are audited.
At least one group of data to be inspected of the target data set to be inspected belongs to the data set to be inspected.
The screening of the data in the data set to be inspected is realized through the steps, so that the data to be inspected, which is required by a user, is inspected, and the working efficiency is improved.
The preset audit rule may be preset and stored by the user.
Specifically, the determining the data to be inspected, which accords with the auditing rule, includes:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
and when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to the auditing rule.
That is, the matching features in the above-mentioned audit rule may be preset and saved by the user. The matching features in the audit rule can comprise characters and an identifier for referring to a specific content; the screening of the data to be inspected may be realized based on the matching features, which are not limited herein.
Correspondingly, the feature data of the data to be inspected can also comprise characters, an identifier for referring to a specific content and the like, and the screening of the data to be inspected can be realized only by combining the matching features. The feature data of the data to be examined can be determined based on at least one word in the word segmentation result, or can be determined based on a combination of a plurality of words in the word segmentation result.
Specifically, the determining the matching degree of the feature data of the data to be checked and the matching feature includes:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked.
Specifically, in the step 102, the word segmentation processing may be performed on the audit data text by any word segmentation method (for example, the existing forward maximum matching method, that is, assuming that the number of Chinese characters contained in the maximum vocabulary entry in the dictionary is n, the first n characters of the character string to be processed are taken as matching fields. The following word segmentation method provided in this embodiment may also be used.
Specifically, the word segmentation method may adopt any one of the following:
converting the text to be segmented into a character sequence; matching the character strings meeting the preset length contained in the character sequence with standard words in a pre-built dictionary, determining a matched character string matched with the standard words, and respectively distributing corresponding dictionary labels for each character of the matched character string and each character except the matched character string in the character sequence to obtain a dictionary label sequence; determining at least one word segmentation label corresponding to each character in the character sequence to obtain a plurality of word segmentation label sequences; determining the conditional probability that the character sequence is marked as each word segmentation tag sequence according to the character sequence, the dictionary tag sequence and a pre-trained conditional probability prediction model; determining a word segmentation tag sequence corresponding to the conditional probability meeting the preset condition as a target word segmentation tag sequence, and performing word segmentation processing on the text to be segmented based on the target word segmentation tag sequence.
Selecting at least one preset word segmentation method combination aiming at a text to be segmented, wherein the word segmentation method combination comprises at least one of a word segmentation disambiguation optimization method, a single word optimization method and a proper noun optimization method, and a basic word segmentation method; performing word segmentation on the text to be segmented by using the selected combination of the preset word segmentation methods; the method for segmenting the text to be segmented by using the selected combination of the preset word segmentation methods comprises a basic word segmentation method and a word segmentation disambiguation optimization method, and comprises the following steps: performing word segmentation on the text to be segmented by adopting a basic word segmentation method to obtain a basic word segmentation result; acquiring an intersecting word tuple and a non-intersecting word tuple which are included in the basic word segmentation result; determining non-intersecting combinations of the tokens in each intersecting token group; determining the word elements without ambiguity according to the word forming probability of each word element in the non-intersecting word element combination; and taking the lemma in the non-intersecting lemma and the lemma without ambiguity as a word segmentation result of the text to be segmented.
Specifically, in step 103, before the applying the calculation formula and performing corresponding calculation according to the number corresponding to the audit data type, the method further includes:
determining a first format of the number;
determining a second format of the number corresponding to the calculation formula;
judging whether the first format and the second format are the same, if not, converting the first format into the second format;
correspondingly, the applying the calculation formula, and performing corresponding calculation according to the numbers corresponding to the audit data types, includes:
and carrying out corresponding calculation according to the numbers in the second format corresponding to the audit data type by using the calculation formula.
Specifically, the audit data type includes: financial domain business and cross-business domains; the service data corresponding to different services may be different, for example: financial domain business data may include: business data such as daily charge reimbursement, travel charge reimbursement, engineering payment, electric charge payment, salary payment and the like; cross-service domain data may include: engineering project, engineering contract, material contract, engineering budget, material entry and exit list, project settlement report, marketing financial account checking and electric charge collection.
It should be noted that various audit data types may correspond to different keywords, the correspondence between the keywords and the audit data types may be preset and stored, and the audit data types may be determined according to the keywords by querying the correspondence. The keyword can be obtained according to the audit data text and can be one of word segmentation results.
Specifically, keywords are obtained through the word segmentation process, the corresponding relation is queried according to the keywords, and the audit data type corresponding to the keywords can be determined.
Here, determining a corresponding calculation formula according to the audit data type as described in step 103; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result for further explanation.
After the audit data types are determined, the calculation can be directly performed according to formulas corresponding to the audit data types stored by the server, so that the corresponding calculation formulas can be determined according to the audit data types.
Before calculation, it is considered that the numbers with different formats may not be applied to the formula, so the numbers need to be converted, and the above conversion method is specifically adopted, which is not described herein.
After the conversion is completed, corresponding calculation can be performed according to the data and the formula, and a result is obtained.
By the method, manual audit is assisted, so that the working efficiency is improved, and the labor cost is saved.
In this embodiment, several methods for obtaining audit data text are provided, specifically, the method for obtaining audit data text includes at least one of the following:
transmitting a data acquisition instruction to at least one database corresponding to at least one audit object, and receiving audit data text transmitted by the at least one database;
sending an access instruction to at least one database corresponding to at least one audit object, and after receiving an agreement message sent by the at least one database, accessing the at least one database by using a WebService, http service method to obtain the audit data text;
sending a data acquisition instruction to a central database, and receiving the audit data text sent by the central database; the central database is used for periodically acquiring the audit data text from at least one database corresponding to the at least one audit object;
and sending an access instruction to the central database, and after receiving the approval message sent by the central database, accessing the central database by using a WebService, http service method to obtain the audit data text.
Fig. 2 is a block diagram of an audit system according to an embodiment of the present invention. As shown in fig. 2, the second aspect of the present invention further proposes an auditing system 2, the auditing system 2 comprising: the device comprises a memory 21 and a processor 22, wherein the memory 21 comprises an auditing method program which realizes the following steps when being executed by the processor 22:
obtaining an audit data text;
word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number;
determining a corresponding calculation formula according to the audit data type; and carrying out corresponding calculation according to the numbers corresponding to the audit data types by using the calculation formula to obtain an audit result.
It should be noted that the system of the present invention may be operated in a terminal device such as a server, a PC, a mobile phone, a PAD, etc.
It should be noted that the processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processing (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Further, after the obtaining the data set to be examined, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing.
Further, the determining the data to be inspected, which accords with the auditing rule, includes:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
and when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to the auditing rule.
Further, the determining the matching degree of the feature data of the data to be checked and the matching feature includes:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked.
Further, before the applying the calculation formula and performing corresponding calculation according to the number corresponding to the audit data type, the method further includes:
determining a first format of the number;
determining a second format of the number corresponding to the calculation formula;
judging whether the first format and the second format are the same, if not, converting the first format into the second format;
correspondingly, the applying the calculation formula, and performing corresponding calculation according to the numbers corresponding to the audit data types, includes:
and carrying out corresponding calculation according to the numbers in the second format corresponding to the audit data type by using the calculation formula.
The third aspect of the present invention also proposes a computer-readable storage medium, in which an auditing method program is included, which, when executed by a processor, implements the steps of an auditing method as described above.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (3)
1. An auditing method, the method comprising:
obtaining an audit data text;
word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number;
determining a corresponding calculation formula according to the audit data type; using the calculation formula, and carrying out corresponding calculation according to the numbers corresponding to the audit data types to obtain an audit result;
after the obtaining the data set to be examined, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing;
the determining the data to be inspected, which accords with the auditing rule, comprises the following steps:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to an auditing rule;
the determining the matching degree of the feature data of the data to be checked and the matching feature comprises the following steps:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked;
before the calculation formula is applied and corresponding calculation is performed according to the numbers corresponding to the audit data types, the method further comprises:
determining a first format of the number;
determining a second format of the number corresponding to the calculation formula;
judging whether the first format and the second format are the same, if not, converting the first format into the second format;
correspondingly, the applying the calculation formula, and performing corresponding calculation according to the numbers corresponding to the audit data types, includes:
and carrying out corresponding calculation according to the numbers in the second format corresponding to the audit data type by using the calculation formula.
2. An auditing system, the auditing system comprising: the system comprises a memory and a processor, wherein the memory comprises an auditing method program which is executed by the processor to realize the following steps:
obtaining an audit data text;
word segmentation processing is carried out on the audit data text, and word segmentation results are obtained; obtaining a data set to be checked according to the word segmentation result; the data set to be examined comprises: at least one set of data to be reviewed; the data to be examined comprises: audit data type and corresponding number;
determining a corresponding calculation formula according to the audit data type; using the calculation formula, and carrying out corresponding calculation according to the numbers corresponding to the audit data types to obtain an audit result;
after the obtaining the data set to be examined, the method further includes:
determining a preset auditing rule, inquiring the data set to be audited according to the auditing rule, determining data to be audited conforming to the auditing rule, and determining a target data set to be audited according to the data to be audited conforming to the auditing rule for auditing;
the determining the data to be inspected, which accords with the auditing rule, comprises the following steps:
determining characteristic data of the data to be checked in the data set to be checked;
matching the feature data of the data to be checked with the matching features in the auditing rules, and determining the matching degree of the feature data of the data to be checked and the matching features;
when the matching degree is higher than a preset threshold value, determining to-be-checked data conforming to an auditing rule;
the determining the matching degree of the feature data of the data to be checked and the matching feature comprises the following steps:
calculating the matching degree of the feature data of the data to be checked and the matching feature by using the following formula:
wherein m is the same character matching degree between the feature data of the data to be checked and the matching feature, t is the editing distance between the matching sequence of the feature data of the data to be checked and the matching sequence of the matching feature, and SA and SB are the feature data of the data to be checked and the character string length of the matching feature respectively;
wherein, the calculation formula of m is as follows:
wherein N represents the total number of characters successfully matched between the feature data of the data to be checked and the matching feature, and Δ (a, i+1, i, b) represents the position interval between the (i+1) th character and the corresponding character in the matching feature in the matching sequence of the feature data of the data to be checked;
before the calculation formula is applied and corresponding calculation is performed according to the numbers corresponding to the audit data types, the method further comprises:
determining a first format of the number;
determining a second format of the number corresponding to the calculation formula;
judging whether the first format and the second format are the same, if not, converting the first format into the second format;
correspondingly, the applying the calculation formula, and performing corresponding calculation according to the numbers corresponding to the audit data types, includes:
and carrying out corresponding calculation according to the numbers in the second format corresponding to the audit data type by using the calculation formula.
3. A computer readable storage medium, comprising an audit method program, which when executed by a processor, implements the steps of an audit method as claimed in claim 1.
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| US7627878B2 (en) * | 2005-12-23 | 2009-12-01 | Eloda Inc. | Method and System for automated auditing of advertising |
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| CN106503102A (en) * | 2016-10-17 | 2017-03-15 | 汉蓝（北京）科技有限公司 | A kind of search engine formula audit analysis method |
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