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A Research On Application Of Data Mining Technology In Manpower Resources Statistical Information System (MRSIS)

Posted on:2008-10-21Degree:MasterType:Thesis
Country:ChinaCandidate:Q GuoFull Text:PDF
GTID:2178360215495906Subject:Statistics
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Data Mining was put forward for the first time at the beginning of the 1990s in last century. It got fast development within short time. It has gotten extensive application in the trades, such as finance, insurance, retailing, manufacturing, etc. As a crossing discipline, It sets up on the foundation of disciplines, such as data base, data warehouse, artificial intelligence, statistics, data visualizing, systematic science, etc. It generally was divided into descriptive data mining and predictive data mining.The development of statistical information system is consistent with management information system. It has experienced EDP, MIS, DSS three stages. To make the administrative decision deepen constantly is the clue of its development. The appearance of data mining has a very great impact on statistical information system. How to apply data mining into statistical information is a new subject. This paper discussed it with Manpower Resources Statistical Information System (MRSIS).According to user's request of Flexible query, finding rule through data, data visualizing, MRSIS applied descriptive data mining including OLAP concept description and so on .It realized the function of basic analysis, classification analysis, related analysis, Characteristic value analysis. Using data mining technology, data of manpower resource is counted and analyze, relation and rule can be searched, assistant function can be gotten for engagement, train, and choose, and decision support can be provided. It satisfied the user preferably. The problems met on the process of development, development way have universal significance and can be applied in most MIS.This paper is divided into four chapters. Chapter One introduces the actuality and development of statistical information system. Chapter Two introduced the definition, level, data sources, objective of data mining. It also discussed the relation of data mining and statistics. Chapter Three introduced data warehouse, OLAP, multi-dimension at first, then discussed OLAP technique based on statistical data. Chapter Four discussed the general process of development of data mining statistical information system based on MRSIS, including process and means of conclude and sort by using decision-tree, system structure of MRSIS, system developing flow, establishing data mining base, and realizing Decision-tree arithmetic module.
Keywords/Search Tags:statistical information system, data mining, OLAP, decision-tree
PDF Full Text Request
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