Design And Implementation Of Data Service Assistant System Based On Data Mining Technology

With the development of the main technology of big data,the big data cloud platform with the background of "Golden Tax Phase III" has been completed.Tax administration under tax modernization has shifted from application-centric to data-centric.Common tax data applications include tax monitoring,tax analysis,and query analysis.Among them,the application of query analysis is mostly based on simple data Statistics,and tax personnel need to extract,analyze and mine potential information in a large amount of tax data in a faster and more convenient way.At present,with the development of the "Golden Tax Phase III" project,tax data has also been migrated from the original Oracle database to the cloud database.The use of data is also more convenient because of the construction of the big data cloud platform.How to use these data information,and then extract the model with important value,and analyze through the model,has very important significance.On the big data cloud platform,multiple applications have been completed in various fields of taxation,and the statistical analysis of tax data query is also an important application in decision-making national economic development.In data service work,more emphasis is placed on local analysis of data,and an independent system is needed to support the data service work.This paper takes data mining technology as the core,first analyzes the principles of commonly used data mining methods,such as classification and clustering,association rules,and optimizes related algorithms through literature research.At the same time,the optimization theory in literature is actually applied to In the realization of the algorithm,a comparative analysis is made on the theory of realization.Secondly,the process of data mining is inseparable from the pre-processing of data.Tax data has been cleaned in the big data cloud platform,but when applied to data mining,data processing is still required.This article combines the data quality inspection indicators of the Golden Tax Phase III,puts forward the rules of data preprocessing,and combines the syntax of the cloud platform to give the data cleaning ODPS SQL statements under different rules.Finally,through researching related platforms and systems,combined with the actual working environment,we designed and implemented a data service auxiliary system based on data mining.In this project,the implementation of algorithms in data mining methods and thedesign of data mining modules are the key points.This project is suitable for data developers to use in the application of big data cloud platforms.The actual application results show that the system implemented in this paper can effectively and quickly mine data.Help tax personnel to analyze,judge and speculate on tax data.