A Data Mining System for Very Large Databases
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    Abstract:

    Data mining is a hotspot that combines the techniques in databases, artificial intelligence and statistics areas. On the basis of the research on some data mining algorithms and their implementation, a data mining system, Golden-Eye, is developed to incorporate primary data mining techniques and coordinate their operations. As the integration of several existing techniques including some improved algorithms as well as some newly proposed operations in data mining area, the system implements a wide spectrum of data mining functions such as generaliztion,data cleaning,association rele mining,exception rele mining,sequentil pattern mining, classification and clustering.By tightly integrating different functional modules such as storage management,data preprocessing,mining operations and mining base management,the system succeds in managing all kinds of data including midterm results uniformly and providing a user-friendly,visualized interface,which makes Golden-Eye a complete and efficient system with good perfmance.Experimental results show that the system can successfully fulfill the mining tasks specified by users on very large databases.

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钱卫宁,魏藜,王焱,钱海蕾,周傲英.一个面向大规模数据库的数据挖掘系统.软件学报,2002,13(8):1540-1545

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History
  • Received:April 05,2001
  • Revised:January 24,2002
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