CN112860815A - Finance and tax informatization data processing system based on big data - Google Patents
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Abstract
The invention discloses a finance and tax informationized data processing system based on big data, which comprises a finance and tax data acquisition module, a data induction and classification module, a data processing module, a data transmission module, a data processing module and a database, wherein the data induction and classification module is in communication connection with the finance and tax data acquisition module, the data induction and classification module is used for inducing and classifying various finance and tax data acquired by the finance and tax data acquisition module, the data processing module is in communication connection with the data induction and classification module, the data transmission module is in communication connection with the data processing module, the data transmission module is used for transmitting the finance and tax data processed by the data processing module, the database is in communication connection with the data transmission module, and the database is used for receiving and storing the finance and tax data transmitted by the data transmission module. The invention improves the processing quality of fiscal information data, improves the precision of modeling analysis, reduces the data calculation amount and power consumption of a large data processing system, and is beneficial to improving the data processing speed and the system stability.
Description
Technical Field
The invention relates to the technical field of financial data processing, in particular to a finance and tax informatization data processing system based on big data.
Background
With the rapid development of the internet technology, the internet has entered into the aspects of people's life, bringing a lot of convenience to various aspects of people. For the management of the fiscal data, people are distinguished from the traditional statistics and processing mainly depending on manual mode, and the fiscal data is processed through a network.
A large amount of data are generated in the finance and tax processing process, most of the existing data processing systems are independent, and finance and tax data need to be counted in real time, so that the data processing capacity of the whole platform is large, the data storage capacity is large, data calculation is frequent, the system is easy to operate unstably, and the accuracy of modeling analysis is greatly reduced.
Disclosure of Invention
The invention aims to provide a fiscal information data processing system based on big data, which improves the processing quality of fiscal information data, improves the accuracy of modeling analysis, reduces the data computation amount and power consumption of the big data processing system, is beneficial to improving the data processing speed and the system stability, and solves the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a big data based financial and tax informationized data processing system, comprising:
the system comprises a fiscal data acquisition module, a fiscal data acquisition module and a data processing module, wherein the fiscal data acquisition module is used for acquiring various fiscal data;
the data induction and classification module is in communication connection with the fiscal data acquisition module and is used for inducing and classifying various types of fiscal data acquired by the fiscal data acquisition module;
the data processing module is in communication connection with the data induction and classification module and is used for processing the fiscal data subjected to induction and classification by the data induction and classification module;
the data sending module is in communication connection with the data processing module and is used for sending the fiscal data processed by the data processing module;
the database is in communication connection with the data sending module and is used for receiving and storing the fiscal data sent by the data sending module;
and the data calling module is in communication connection with the database and is used for sending a calling request and quickly searching target fiscal data from the database information according to the input searching conditions.
The system for processing the fiscal information based on the big data preferably further comprises a data preprocessing module, wherein the data preprocessing module is respectively in communication connection with the data induction and classification module and the data processing module, and is used for preprocessing the fiscal data induced and classified by the data induction and classification module and sending the preprocessed fiscal data to the data processing module.
Preferably, the fiscal information data processing system based on big data according to the present invention, the data preprocessing module includes:
the data redundancy judging unit is used for judging whether the classified fiscal data is redundant useless data or not;
a data cleaning unit for removing noise and deleting unnecessary data;
a data optimization unit for optimizing the retained data;
a data conversion unit that transforms and unifies data into a form suitable for mining through a summarization or aggregation operation.
The financial and tax information data processing system based on big data preferably further comprises a data compression module, wherein the data compression module is in communication connection with the database, and is used for compressing data in the database.
The financial and tax information data processing system based on big data preferably further comprises a cloud data storage module, wherein the cloud data storage module is in communication connection with the database and is used for uploading data in the database to a cloud end for storage.
Preferably, as a big data-based financial and tax informationized data processing system according to the present invention, the calling condition of the data calling module includes a first searching condition and a second searching condition that work independently or in cooperation with each other.
Preferably, in the financial and tax information data processing system based on big data according to the present invention, the search method of the first search condition includes:
classifying the finance and tax data through a classification algorithm model;
and labeling the classification result according to the text label, and performing word segmentation processing on the keywords of the text label during retrieval to obtain different retrieval keywords.
Preferably, the fiscal information data processing system based on big data according to the present invention, the working method of the classification algorithm model includes:
selecting k objects from the database as initial clustering centers, wherein the data set is X ═ Xm1, 2.., M }, where there are d different classification attributes in the financial database, then there is a1，A2，...，AdA number of different dimensions;
calculating the distance from each clustering object to the clustering center to divide the classification attribute, wherein the data xiAnd data xjThe similarity between them is calculated by a distance formula, xiAnd xjThe smaller the distance between, the sample xiAnd xjThe more similar, xiAnd xjThe greater the distance between, sample xiAnd xjThe farther apart the difference, where the distance formula is:
calculating each clustering center again, taking the sample mean value in each clustering as a new clustering center through repeated calculation, and repeating the previous step;
and outputting classification results, wherein each classification result is labeled by a text label.
Preferably, in the financial and tax information data processing system based on big data according to the present invention, the second search condition search method includes:
calculating the relation between the fiscal data and the tax data through an associated algorithm model;
the data relationship outputted for each calculation result is separated by a separator, and at the time of retrieval, the data having a relationship between the fiscal data is retrieved by the separator.
Preferably, the operation method of the associated algorithm model comprises the following steps:
partitioning attribute classes of a database into a set C, where C ═ { C ═ C1，c2，...，cmH, wherein the i-th classification attribute satisfies the condition: i is more than or equal to 1 and less than or equal to m, and the largest output category of the fiscal data set d to be called is P (c)iAnd/d), then:
wherein C, D is expressed as a random variable, the bayesian classification formula of the fiscal data set d to be called is:
the data information in the database is then classified according to the above formula, each class is separated by a separator, and at the time of retrieval, retrieval is performed using a separator retrieval rule.
Compared with the prior art, the invention has the beneficial effects that:
the invention collects various fiscal and taxation data through a fiscal and taxation data acquisition module, then carries out induction and classification on various fiscal and taxation data through a data induction and classification module, processes the fiscal and taxation data subjected to induction and classification through a data processing module, then sends the processed fiscal and taxation data to a database for storage through a data sending module, and finally sends a calling request through a data calling module, and quickly searches out target fiscal and taxation data from database information according to input searching conditions.
Drawings
Fig. 1 is a block diagram of a fiscal information data processing system based on big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Examples
Referring to fig. 1, the present invention provides a technical solution:
a big data based financial and tax informationized data processing system, comprising:
the system comprises a fiscal data acquisition module, a fiscal data acquisition module and a data processing module, wherein the fiscal data acquisition module is used for acquiring various fiscal data;
the data induction and classification module is in communication connection with the fiscal data acquisition module and is used for inducing and classifying various types of fiscal data acquired by the fiscal data acquisition module;
the data processing module is in communication connection with the data induction and classification module and is used for processing the fiscal data subjected to induction and classification by the data induction and classification module;
the data sending module is in communication connection with the data processing module and is used for sending the fiscal data processed by the data processing module;
the database is in communication connection with the data sending module and is used for receiving and storing the fiscal data sent by the data sending module;
and the data calling module is in communication connection with the database and is used for sending a calling request and quickly searching target fiscal data from the database information according to the input searching conditions.
The data preprocessing module is respectively in communication connection with the data induction and classification module and the data processing module, and is used for preprocessing the fiscal data subjected to induction and classification by the data induction and classification module and sending the preprocessed fiscal data to the data processing module.
As a technical optimization scheme of the present invention, the data preprocessing module includes:
the data redundancy judging unit is used for judging whether the classified fiscal data is redundant useless data or not;
a data cleaning unit for removing noise and deleting unnecessary data;
a data optimization unit for optimizing the retained data;
a data conversion unit that transforms and unifies data into a form suitable for mining through a summarization or aggregation operation.
The technical optimization scheme of the invention further comprises a data compression module, wherein the data compression module is in communication connection with the database and is used for compressing the data in the database.
The technical optimization scheme of the invention further comprises a cloud data storage module, wherein the cloud data storage module is in communication connection with the database and is used for uploading data in the database to a cloud end for storage.
As a technical optimization scheme of the invention, the calling condition of the data calling module comprises a first retrieval condition and a second retrieval condition which work independently or in cooperation with each other.
As a technical optimization scheme of the present invention, the retrieval method of the first retrieval condition includes:
classifying the finance and tax data through a classification algorithm model;
and labeling the classification result according to the text label, and performing word segmentation processing on the keywords of the text label during retrieval to obtain different retrieval keywords.
As a technical optimization scheme of the invention, the working method of the classification algorithm model comprises the following steps:
selecting k objects from the database as initial clustering centers, wherein the data set is X ═ Xm1, 2.., M }, where there are d different classification attributes in the financial database, then there is a1，A2，...，AdA number of different dimensions;
calculating the distance from each clustering object to the clustering center to divide the classification attribute, wherein the data xiAnd data xjThe similarity between them is calculated by a distance formula, xiAnd xjThe smaller the distance between, the sample xiAnd xjThe more similar, xiAnd xjThe greater the distance between, sample xiAnd xjThe farther the phase difference isWherein the distance formula is:
calculating each clustering center again, taking the sample mean value in each clustering as a new clustering center through repeated calculation, and repeating the previous step;
and outputting classification results, wherein each classification result is labeled by a text label.
As a technical optimization scheme of the present invention, the retrieval method of the second retrieval condition includes:
calculating the relation between the fiscal data and the tax data through an associated algorithm model;
the data relationship outputted for each calculation result is separated by a separator, and at the time of retrieval, the data having a relationship between the fiscal data is retrieved by the separator.
As a technical optimization scheme of the invention, the working method of the correlation algorithm model comprises the following steps:
partitioning attribute classes of a database into a set C, where C ═ { C ═ C1，c2，...，cmH, wherein the i-th classification attribute satisfies the condition: i is more than or equal to 1 and less than or equal to m, and the largest output category of the fiscal data set d to be called is P (c)iAnd/d), then:
wherein C, D is expressed as a random variable, the bayesian classification formula of the fiscal data set d to be called is:
the data information in the database is then classified according to the above formula, each class is separated by a separator, and at the time of retrieval, retrieval is performed using a separator retrieval rule.
In summary, the following steps: the invention collects various fiscal and taxation data through a fiscal and taxation data acquisition module, then carries out induction and classification on various fiscal and taxation data through a data induction and classification module, processes the fiscal and taxation data subjected to induction and classification through a data processing module, then sends the processed fiscal and taxation data to a database for storage through a data sending module, and finally sends a calling request through a data calling module, and quickly searches out target fiscal and taxation data from database information according to input searching conditions.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A fiscal information data processing system based on big data, comprising:
the system comprises a fiscal data acquisition module, a fiscal data acquisition module and a data processing module, wherein the fiscal data acquisition module is used for acquiring various fiscal data;
the data induction and classification module is in communication connection with the fiscal data acquisition module and is used for inducing and classifying various types of fiscal data acquired by the fiscal data acquisition module;
the data processing module is in communication connection with the data induction and classification module and is used for processing the fiscal data subjected to induction and classification by the data induction and classification module;
the data sending module is in communication connection with the data processing module and is used for sending the fiscal data processed by the data processing module;
the database is in communication connection with the data sending module and is used for receiving and storing the fiscal data sent by the data sending module;
and the data calling module is in communication connection with the database and is used for sending a calling request and quickly searching target fiscal data from the database information according to the input searching conditions.
2. The big-data-based fiscal informationized data processing system according to claim 1, wherein: the data preprocessing module is in communication connection with the data induction and classification module and the data processing module respectively, and is used for preprocessing the fiscal data subjected to induction and classification by the data induction and classification module and sending the preprocessed fiscal data to the data processing module.
3. The big-data-based financial and tax informationized data processing system according to claim 2, wherein the data preprocessing module comprises:
the data redundancy judging unit is used for judging whether the classified fiscal data is redundant useless data or not;
a data cleaning unit for removing noise and deleting unnecessary data;
a data optimization unit for optimizing the retained data;
a data conversion unit that transforms and unifies data into a form suitable for mining through a summarization or aggregation operation.
4. The big-data-based fiscal informationized data processing system according to claim 1, wherein: the data compression module is in communication connection with the database and is used for compressing the data in the database.
5. The big-data-based fiscal informationized data processing system according to claim 1, wherein: the cloud data storage module is in communication connection with the database and is used for uploading data in the database to a cloud end for storage.
6. The big-data-based fiscal informationized data processing system according to claim 1, wherein: the calling condition of the data calling module comprises a first retrieval condition and a second retrieval condition which work independently or in cooperation with each other.
7. The big-data-based financial and tax informationized data processing system according to claim 6, wherein the retrieval method of the first retrieval condition comprises:
classifying the finance and tax data through a classification algorithm model;
and labeling the classification result according to the text label, and performing word segmentation processing on the keywords of the text label during retrieval to obtain different retrieval keywords.
8. The big-data-based financial and tax informationized data processing system according to claim 7, wherein the classification algorithm model is operated by a method comprising:
selecting k objects from the database as initial clustering centers, wherein the data set is X ═ Xm1, 2.., M }, where there are d different classification attributes in the financial database, then there is a1，A2，...，AdA number of different dimensions;
calculating the distance from each clustering object to the clustering center to divide the classification attribute, wherein the data xiAnd data xjThe similarity between them is calculated by a distance formula, xiAnd xjThe smaller the distance between, the sample xiAnd xjThe more similar, xiAnd xjThe greater the distance between, sample xiAnd xjThe farther apart the difference, where the distance formula is:
calculating each clustering center again, taking the sample mean value in each clustering as a new clustering center through repeated calculation, and repeating the previous step;
and outputting classification results, wherein each classification result is labeled by a text label.
9. The big-data-based financial and tax informationized data processing system according to claim 6, wherein the retrieval method of the second retrieval condition comprises:
calculating the relation between the fiscal data and the tax data through an associated algorithm model;
the data relationship outputted for each calculation result is separated by a separator, and at the time of retrieval, the data having a relationship between the fiscal data is retrieved by the separator.
10. The big-data-based financial and tax informationized data processing system according to claim 9, wherein the working method of the correlation algorithm model comprises:
partitioning attribute classes of a database into a set C, where C ═ { C ═ C1，c2，...，cmH, wherein the i-th classification attribute satisfies the condition: i is more than or equal to 1 and less than or equal to m, and the largest output category of the fiscal data set d to be called is P (c)iAnd/d), then:
wherein C, D is expressed as a random variable, the bayesian classification formula of the fiscal data set d to be called is:
the data information in the database is then classified according to the above formula, each class is separated by a separator, and at the time of retrieval, retrieval is performed using a separator retrieval rule.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116303404A (en) * | 2023-05-11 | 2023-06-23 | 起点(山东)大数据科技有限责任公司 | Big data storage system for preventing data redundancy based on data classification and peer comparison |
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