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Data Mining Application in E-government OA System

Author: YuanJun
Tutor: ZengDaZuo
School: East China Normal University
Course: Software Engineering
Keywords: E-government Data Mining Decision Tree Clustering
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 149
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Abstract


E-government in China has developed greatly in recent years. A large number of databases have been established in all levels of government departments.And data grows exponentially.It has become a problem of practical significane to efficiently and accurately extract useful information from E-government system with new data analysis techniques.IGRP, a kind of municipal E-government OA system will be analyzed with data mining techniques in this article.The target is to find the attributes that impact user activity by data mining in iGRP E-government OA system.Firstly,appropriate target attributes and predictor attributes are selected based on the target in the procedure of data analysis. Secondly, the selected target attributes and predictor attributes are extracted,integrated and cleaned from databases of iGRP system. Thirdly, numeric predictor attributes are noise processed and discretized. Fourthly, the target attributes and related predictor attributes are analyzed by "Attribute Importance" function of ODM (Oracle Data Mining).And unrelated attributes are excluded to reduce the data dimensions. Fifthly, the target attributes and related predictor attributes are analyzed by O-Cluster algorithm and an appropriate point is found to split the target attributes to binary attributes. At last, the target attributes are classified and estimated by decision-tree.7,827 cases, including 30 predictor attributes and 2 target attributes, are extracted from 5 databases of a municipal E-government OA system in this article. The result of data mining in the dataset is concluded as follows.The greatest impact on user activity attribute is "Total Favorites".The second is role attribute of "person responsible for sending official documents" and role "person responsible for receiving official documents".Based on the conclusion, user requirements and feedback of the "Favorite Folder" function module should be learned more in order to improve the function and provide better services for users. Secondly, users with role of "person responsible for sending official documents" or "person responsible for receiving official documents" should be paid more attention in user training and user feedback survey.In this article,data mining techniques are applied in the real data of E-government sysem. It is relized to efficiently and accurately analyz massive data. And the basis is provided to improve the product of iGRP and increase customer satisfaction.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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