Method and System for Generating Proof Materials of Claim Amount

Abstract

The present invention provides a method and system for generating proof materials for claim amounts. The method includes: obtaining credit card transaction flow data; calculating the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total period; extracting first transaction flow data and second transaction flow data from the credit card transaction flow data according to the first step period and the second step period respectively; using a decision tree algorithm to generate first credit class queue data, first repayment class queue data, and second repayment class queue data according to the first transaction flow data and the second transaction flow data; using a deduction algorithm to calculate the previous period's outstanding debt data in the second period's bill according to the first credit class queue data, the first repayment class queue data, and the second repayment class queue data; obtaining the first proof material for the claim amount according to the previous period's outstanding debt data in the second period's bill. Thus, it is possible to automatically generate proof materials for claims, effectively support the online trial of cases, and reduce the work burden.

Description

Technical Field

[0001] The present invention relates to the technical field of proof material generation, and particularly to a method for generating a proof material for claim amount and a system for generating a proof material for claim amount. Background Art

[0002] With the development of Internet courts and Internet arbitration, courts and arbitration institutions have applied information technology to the actual trial of cases, enabling case parties, agents and judges to present evidence, cross-examine evidence, conduct court hearings and finally make judgments through online platforms, greatly improving the trial efficiency and reducing the social rights protection cost. Due to the high degree of online and electronic nature and small amount of bank credit card business, the dispute cases thereof are suitable for online platform trial. At the same time, the online platform has optimized the "requisite form" contract cases of credit cards by technical means, and bank parties only need to "submit" cases very simply, without increasing the workload and difficulty.

[0003] However, due to the complexity of the occurrence of credit card debts, there are also some deficiencies in the online platform. Particularly significantly, the legal readability of the "transaction flow" provided by banks is poor, and the platform software lacks technical means to automatically generate claim proof materials based on the "transaction flow". This problem may lead to difficulties in proving claims in credit card cases, increasing the workload and difficulty of parties and agents. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method for generating a proof material for claim amount, which can automatically generate a claim proof material, is clearly readable, effectively supports the online trial of cases, and reduces the work burden of parties and agents.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A method for generating a proof material for claim amount includes the following steps: obtaining credit card transaction flow data; calculating the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total number of periods; extracting first transaction flow data and second transaction flow data from the credit card transaction flow data according to the first step period and the second step period respectively; generating first credit type queue data, first repayment type queue data and second repayment type queue data according to the first transaction flow data and the second transaction flow data by using a decision tree algorithm; calculating the outstanding balance data of the previous period in the second period bill according to the first credit type queue data, the first repayment type queue data and the second repayment type queue data by using a deduction algorithm; and obtaining the first proof material of the claim amount according to the outstanding balance data of the previous period in the second period bill.

[0007] The method for generating the proof material of the claim amount further includes: extracting the Nth transaction flow data and the (N + 1)th transaction flow data from the credit card transaction flow data according to the Nth step period and the (N + 1)th step period respectively, where N is a positive integer greater than or equal to 2 and less than or equal to the total number of periods; using a decision tree algorithm to generate the Nth credit class queue data, the Nth repayment class queue data and the (N + 1)th repayment class queue data according to the Nth transaction flow data and the (N + 1)th transaction flow data; using a deduction algorithm to calculate the previous period's outstanding balance data in the (N + 1)th bill according to the previous period's outstanding balance data in the Nth bill, the Nth credit class queue data, the Nth repayment class queue data and the (N + 1)th repayment class queue data; and obtaining the second proof material of the claim amount according to the previous period's outstanding balance data in the (N + 1)th bill.

[0008] The method for generating the proof material of the claim amount further includes: extracting the Dth transaction flow data from the credit card transaction flow data according to the Dth step period, where D is the total number of periods; using a decision tree algorithm to generate the Dth credit class queue data and the Dth repayment class queue data according to the Dth step period; using a deduction algorithm to calculate the outstanding balance data in the Dth bill according to the previous period's outstanding balance data in the Dth bill, the Dth credit class queue data and the Dth repayment class queue data; and obtaining the third proof material of the claim amount according to the outstanding balance data in the Dth bill.

[0009] A system for generating the proof material of the claim amount includes: a first acquisition module for acquiring credit card transaction flow data; a first calculation module for calculating the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total number of periods; a data extraction module for extracting the first transaction flow data and the second transaction flow data from the credit card transaction flow data according to the first step period and the second step period respectively; a data generation module for using a decision tree algorithm to generate the first credit class queue data, the first repayment class queue data and the second repayment class queue data according to the first transaction flow data and the second transaction flow data; a second calculation module for using a deduction algorithm to calculate the previous period's outstanding balance data in the second bill according to the first credit class queue data, the first repayment class queue data and the second repayment class queue data; and a second acquisition module for obtaining the first proof material of the claim amount according to the previous period's outstanding balance data in the second bill.

[0010] A computer device includes a memory, a processor and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for generating the proof material of the claim amount as described above is implemented.

[0011] A non - transitory computer - readable storage medium stores a computer program thereon, and when the program is executed by a processor, the above - mentioned method for generating creditor's rights amount proof materials is implemented.

[0012] Advantages of the present invention:

[0013] The present invention can automatically generate creditor's rights proof materials, which are clearly readable, effectively support the online trial of cases, and reduce the workload of parties and agents. Brief Description of the Drawings

[0014] Figure 1 is a flowchart of the method for generating creditor's rights amount proof materials according to an embodiment of the present invention;

[0015] Figure 2 is a schematic diagram of a method for calculating the data of previous period's arrears in each period's bill by using a deduction algorithm according to an embodiment of the present invention;

[0016] Figure 3 is a block schematic diagram of the creditor's rights amount proof material generation system according to an embodiment of the present invention. Detailed Embodiments

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Figure 1 is a flowchart of the method for generating creditor's rights amount proof materials according to an embodiment of the present invention.

[0019] As Figure 1 shown, the method for generating creditor's rights amount proof materials according to an embodiment of the present invention may include the following steps:

[0020] S1. Obtain credit card transaction flow data.

[0021] Specifically, by performing language recognition on the Chinese description of each transaction and classifying and aggregating it using decision - tree classification technology and then tagging it to obtain credit card transaction flow data.

[0022] S2. Calculate the total number of periods corresponding to the credit card transaction flow data and the step - by - step period corresponding to each total number of periods.

[0023] After obtaining the credit card transaction flow data, the total number of periods D corresponding to the credit card transaction flow data and the step - by - step period corresponding to each total number of periods can be calculated.

[0024] S3. Extract the first transaction flow data and the second transaction flow data from the credit card transaction flow data according to the first step cycle and the second step cycle respectively.

[0025] S4. Use the decision tree algorithm to generate the first credit class queue data, the first repayment class queue data, and the second repayment class queue data according to the first transaction flow data and the second transaction flow data.

[0026] Specifically, as Figure 2 shown, first extract the first transaction flow data M1 and the second transaction flow data M2 from the credit card transaction flow data according to the first step cycle and the second step cycle respectively, and then use the decision tree algorithm to generate the first credit class queue data A 1i , the first repayment class queue data B 1i and the second repayment class queue data B 2i , where i is a positive integer.

[0027] S5. Use the deduction algorithm to calculate the previous period's outstanding data in the second bill according to the first credit class queue data, the first repayment class queue data, and the second repayment class queue data.

[0028] S6. Obtain the first proof material of the creditor's rights amount according to the previous period's outstanding data in the second bill.

[0029] Specifically, first calculate the first difference between the amount data thrown at the head of the queue of the first credit class queue data A 1i and the amount data thrown at the head of the queue of the first repayment class queue data B 1i , then add the first difference to the new head amount value of the queue of the first credit class queue data A 1i , and execute the loop in sequence. If the queue of the first credit class queue data A 1i is empty, then take the absolute value of the first difference and put it back into the queue of the first repayment class queue data B 1i as the head; if the queue of the first repayment class queue data B 1i is empty, then put the first difference back into the queue of the first credit class queue data A 1i as the head. After the deduction is completed, the amount in the queue can be settled according to the interest and fee calculation rules to form the previous period's outstanding data S 1，2 in the second bill. Finally, according to the previous period's outstanding data S 1，2 in the second bill, use the observer design pattern to extract the calculation process as the first proof material.

[0030] According to an embodiment of the present invention, the method for generating proof materials of claim amount further includes: extracting the Nth transaction flow data and the (N + 1)th transaction flow data from the credit card transaction flow data according to the Nth step cycle and the (N + 1)th step cycle respectively, where N is a positive integer greater than or equal to 2 and less than or equal to the total number of periods; generating the Nth credit class queue data, the Nth repayment class queue data and the (N + 1)th repayment class queue data according to the Nth transaction flow data and the (N + 1)th transaction flow data by using a decision tree algorithm; calculating the previous period's outstanding data in the (N + 1)th bill according to the previous period's outstanding data in the Nth bill, the Nth credit class queue data, the Nth repayment class queue data and the (N + 1)th repayment class queue data by using a deduction algorithm; obtaining the second proof material of the claim amount according to the previous period's outstanding data in the (N + 1)th bill.

[0031] Specifically, as Figure 2 shown, the Nth transaction flow data M N and the (N + 1)th transaction flow data M N+1 can be extracted from the credit card transaction flow data according to the Nth step cycle and the (N + 1)th step cycle respectively. Then, the Nth credit class queue data A N and the (N + 1)th repayment class queue data B N+1 are generated according to the Nth transaction flow data M Ni and the (N + 1)th transaction flow data M Ni by using a decision tree algorithm, where i is a positive integer and N is a positive integer greater than or equal to 2 and less than or equal to the total number of periods. For example, the second transaction flow data M2 and the third transaction flow data M3 can be extracted from the credit card transaction flow data according to the second step cycle and the third step cycle respectively. Then, the second credit class queue data A N+1i and the second repayment class queue data B 2i and the third repayment class queue data B 2i are generated according to the second transaction flow data M2 and the third transaction flow data M3 by using a decision tree algorithm; the third transaction flow data M3 and the fourth transaction flow data M4 can be extracted from the credit card transaction flow data according to the third step cycle and the fourth step cycle respectively. Then, the third credit class queue data A 3i and the third repayment class queue data B 3i and the fourth repayment class queue data B 3i are generated according to the third transaction flow data M3 and the fourth transaction flow data M4 by using a decision tree algorithm. 4i

[0032] Furthermore, the previous period's outstanding data in the (N + 1)th bill is calculated according to the previous period's outstanding data in the Nth bill, the Nth credit class queue data A Ni and the Nth repayment class queue data B Ni and the (N + 1)th repayment class queue data BN+1i Calculate the previous period's outstanding debt data in the (N + 1)-th bill. For example, use the deduction algorithm to calculate based on the previous period's outstanding debt data S in the second bill 1，2 , the second credit class queue data A 2i , the second repayment class queue data B 2i and the third repayment class queue data B 3i Calculate the previous period's outstanding debt data S in the third bill 2，3 ; use the deduction algorithm to calculate based on the previous period's outstanding debt data S in the third bill 2，3 , the third credit class queue data A 3i , the third repayment class queue data B 3i and the fourth repayment class queue data B 4i Calculate the previous period's outstanding debt data S in the fourth bill 3，4 . For the specific deduction algorithm, reference can be made to the above embodiments and will not be elaborated here. After the deduction is completed, the amounts in the queue can be settled according to the interest and fee calculation rules to form the previous period's outstanding debt data S in the (N + 1)-th bill N，N+1 . Finally, according to the previous period's outstanding debt data S in the (N + 1)-th bill N，N+1 Use the observer design pattern to extract the calculation process as the first proof material. Finally, generate the previous period's outstanding debt data S in the D-th bill D-1，D .

[0033] According to an embodiment of the present invention, the method for generating the proof material of the claim amount further includes: extracting the D-th transaction flow data from the credit card transaction flow data according to the D-th step cycle, where D is the total number of periods; using the decision tree algorithm to generate the D-th credit class queue data and the D-th repayment class queue data according to the D-th step cycle; using the deduction algorithm to calculate the outstanding debt data in the D-th bill according to the previous period's outstanding debt data in the D-th bill, the D-th credit class queue data, and the D-th repayment class queue data; obtaining the third proof material of the claim amount according to the outstanding debt data in the D-th bill

[0034] Specifically, first, extract the D-th transaction flow data from the credit card transaction flow data according to the D-th step cycle, then use the decision tree algorithm to generate the D-th credit class queue data and the D-th repayment class queue data according to the D-th step cycle, then use the deduction algorithm to calculate the outstanding debt data in the D-th bill according to the previous period's outstanding debt data in the D-th bill, the D-th credit class queue data, and the D-th repayment class queue data, and finally, obtain the third proof material of the claim amount according to the outstanding debt data in the D-th bill

[0035] Thus, the present invention can automatically generate the proof material of the claim, effectively support the online trial of cases, reduce the work burden of the parties and agents, and moreover, the calculation accuracy is high and the speed is fast, the process information is completely retained, and the flexibility of assembling the evidence materials is high, which can effectively support the needs of the trial of credit card cases

[0036] In summary, according to the method for generating proof materials of claim amount in the embodiments of the present invention, credit card transaction flow data is obtained, and the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total number of periods are calculated. Moreover, according to the first step period and the second step period, the first transaction flow data and the second transaction flow data are respectively extracted from the credit card transaction flow data, and the decision tree algorithm is used to generate the first credit type queue data, the first repayment type queue data, and the second repayment type queue data according to the first transaction flow data and the second transaction flow data. In addition, the deduction algorithm is used to calculate the previous period's outstanding amount data in the second bill according to the first credit type queue data, the first repayment type queue data, and the second repayment type queue data, and the first proof material of the claim amount is obtained according to the previous period's outstanding amount data in the second bill. Thus, it is possible to automatically generate proof materials for claims, which are clearly readable, effectively support the online trial of cases, and reduce the workload of parties and agents.

[0037] Corresponding to the method for generating proof materials of claim amount in the above embodiments, the present invention also proposes a system for generating proof materials of claim amount.

[0038] As Figure 3 shown, the system for generating proof materials of claim amount in the embodiments of the present invention may include: a first acquisition module 100, a first calculation module 200, a data extraction module 300, a data generation module 400, a second calculation module 500, and a second acquisition module 600.

[0039] Among them, the first acquisition module 100 is used to acquire credit card transaction flow data; the first calculation module 200 is used to calculate the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total number of periods; the data extraction module 300 is used to extract the first transaction flow data and the second transaction flow data from the credit card transaction flow data according to the first step period and the second step period respectively; the data generation module 400 is used to generate the first credit type queue data, the first repayment type queue data, and the second repayment type queue data according to the first transaction flow data and the second transaction flow data by using the decision tree algorithm; the second calculation module 500 is used to calculate the previous period's outstanding amount data in the second bill according to the first credit type queue data, the first repayment type queue data, and the second repayment type queue data by using the deduction algorithm; the second acquisition module 600 is used to obtain the first proof material of the claim amount according to the previous period's outstanding amount data in the second bill.

[0040] According to an embodiment of the present invention, the data extraction module 300 is further configured to extract the Nth transaction flow data and the (N + 1)th transaction flow data from the credit card transaction flow data according to the Nth step cycle and the (N + 1)th step cycle respectively, where N is a positive integer greater than or equal to 2 and less than or equal to the total number of periods; the data generation module 400 is further configured to generate the Nth credit class queue data, the Nth repayment class queue data, and the (N + 1)th repayment class queue data according to the Nth transaction flow data and the (N + 1)th transaction flow data by using a decision tree algorithm; the second calculation module 500 is further configured to calculate the previous period's outstanding amount data in the (N + 1)th period's bill according to the previous period's outstanding amount data in the Nth period's bill, the Nth credit class queue data, the Nth repayment class queue data, and the (N + 1)th repayment class queue data by using a deduction algorithm; the second acquisition module 600 is further configured to obtain the second proof material of the claim amount according to the previous period's outstanding amount data in the (N + 1)th period's bill.

[0041] According to an embodiment of the present invention, the data extraction module 300 is further configured to extract the Dth transaction flow data from the credit card transaction flow data according to the Dth step cycle, where D is the total number of periods; the data generation module 400 is further configured to generate the Dth credit class queue data and the Dth repayment class queue data according to the Dth step cycle by using a decision tree algorithm; the second calculation module 500 is further configured to calculate the outstanding amount data in the Dth period's bill according to the previous period's outstanding amount data in the Dth period's bill, the Dth credit class queue data, and the Dth repayment class queue data by using a deduction algorithm; the second acquisition module 600 is further configured to obtain the third proof material of the claim amount according to the outstanding amount data in the Dth period's bill.

[0042] It should be noted that for a more specific implementation manner of the claim amount proof material generation system in the embodiment of the present invention, reference may be made to the embodiment of the claim amount proof material generation method described above, which will not be elaborated here.

[0043] The system for generating proof materials of claim amount according to an embodiment of the present invention obtains credit card transaction flow data through a first acquisition module, calculates the total number of periods corresponding to the credit card transaction flow data and the step period corresponding to each total number of periods through a first calculation module, extracts first transaction flow data and second transaction flow data from the credit card transaction flow data according to the first step period and the second step period through a data extraction module, generates first credit class queue data, first repayment class queue data and second repayment class queue data according to the first transaction flow data and the second transaction flow data by using a decision tree algorithm through a data generation module, calculates the previous period's outstanding amount data in the second bill according to the first credit class queue data, the first repayment class queue data and the second repayment class queue data by using a deduction algorithm through a second calculation module, and obtains the first proof material of the claim amount according to the previous period's outstanding amount data in the second bill through a second acquisition module. Thus, it can automatically generate proof materials of claims, which are clearly readable, effectively support the online trial of cases, and reduce the work burden of parties and agents.

[0044] Corresponding to the above embodiment, the present invention also provides a computer device.

[0045] The computer device according to an embodiment of the present invention includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method for generating proof materials of claim amount in the above embodiment is implemented.

[0046] The computer device according to an embodiment of the present invention can automatically generate proof materials of claims, which are clearly readable, effectively support the online trial of cases, and reduce the work burden of parties and agents.

[0047] Corresponding to the above embodiment, the present invention also provides a non-transitory computer-readable storage medium.

[0048] A computer program is stored on the non-transitory computer-readable storage medium according to an embodiment of the present invention. When the program is executed by a processor, the method for generating proof materials of claim amount as described above is implemented.

[0049] The non-transitory computer-readable storage medium according to an embodiment of the present invention can automatically generate proof materials of claims, which are clearly readable, effectively support the online trial of cases, and reduce the work burden of parties and agents.

[0050] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "plurality" is two or more, unless otherwise specifically defined.

[0051] In the present invention, unless otherwise clearly defined or limited, the terms "mounted", "connected", "coupled", "fixed", etc. shall be construed broadly. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention may be understood according to specific circumstances.

[0052] In the present invention, unless otherwise clearly defined or limited, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on top of" the second feature may be that the first feature is directly above or obliquely above the second feature, or merely indicates that the first feature has a higher horizontal height than the second feature. The first feature being "under", "below" and "beneath" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely indicates that the first feature has a lower horizontal height than the second feature.

[0053] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not have to be directed to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0054] Any process or method description shown in the flowchart or described in other ways herein may be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where the functions may be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in combination with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then storing it in a computer memory.

[0056] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0057] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of implementing the above embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0058] In addition, each functional unit in various embodiments of the present invention may be integrated into a processing module, may exist separately physically for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium. The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, or the like.

[0059] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for generating proof materials of claim amount, characterized in that, It includes the following steps: Obtain credit card transaction statement data; Calculate the total number of periods corresponding to the credit card transaction statement data and the step cycle corresponding to each total period; Extract first transaction statement data and second transaction statement data from the credit card transaction statement data according to the first step cycle and the second step cycle respectively; Use the decision tree algorithm to generate first credit category queue data, first repayment category queue data and second repayment category queue data according to the first transaction statement data and the second transaction statement data; Use the deduction algorithm to calculate the previous period's outstanding balance data in the second period's bill according to the first credit category queue data, the first repayment category queue data and the second repayment category queue data; Obtain the first proof material of the claim amount according to the previous period's outstanding balance data in the second period's bill.

2. The method for generating the creditor's right amount proof material according to claim 1, wherein It also includes: Extract the Nth transaction statement data and the (N + 1)th transaction statement data from the credit card transaction statement data according to the Nth step cycle and the (N + 1)th step cycle respectively, where N is a positive integer greater than or equal to 2 and less than the total number of periods; Use the decision tree algorithm to generate the Nth credit category queue data, the Nth repayment category queue data and the (N + 1)th repayment category queue data according to the Nth transaction statement data and the (N + 1)th transaction statement data; Use the deduction algorithm to calculate the previous period's outstanding balance data in the (N + 1)th period's bill according to the previous period's outstanding balance data in the Nth period's bill, the Nth credit category queue data, the Nth repayment category queue data and the (N + 1)th repayment category queue data; Obtain the second proof material of the claim amount according to the previous period's outstanding balance data in the (N + 1)th period's bill.

3. The method for generating the creditor's rights amount certification material according to claim 2, wherein It also includes: Extract the Dth transaction statement data from the credit card transaction statement data according to the Dth step cycle, where D is the total number of periods; Use the decision tree algorithm to generate the Dth credit category queue data and the Dth repayment category queue data according to the Dth step cycle; Use the deduction algorithm to calculate the outstanding balance data in the Dth period's bill according to the previous period's outstanding balance data in the Dth period's bill, the Dth credit category queue data and the Dth repayment category queue data; Obtain the third proof material of the claim amount according to the outstanding balance data in the Dth period's bill.

4. A system for generating proof materials of creditor's rights amount, characterized in that, It includes: The first acquisition module, which is used to obtain credit card transaction statement data; The first calculation module, which is used to calculate the total number of periods corresponding to the credit card transaction statement data and the step cycle corresponding to each total period; The data extraction module, which is used to extract first transaction statement data and second transaction statement data from the credit card transaction statement data according to the first step cycle and the second step cycle respectively; The data generation module, which is used to use the decision tree algorithm to generate first credit category queue data, first repayment category queue data and second repayment category queue data according to the first transaction statement data and the second transaction statement data; The second calculation module, which is used to use the deduction algorithm to calculate the previous period's outstanding balance data in the second period's bill according to the first credit category queue data, the first repayment category queue data and the second repayment category queue data; A second acquisition module, which is configured to obtain a first proof material of the claim amount according to the previous outstanding amount data in the second-period bill.

5. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for generating the proof material of the claim amount according to any one of claims 1-3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method for generating the proof material of the claim amount according to any one of claims 1-3.

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