DBMiner: a system for data mining in relational databases and data warehouses

نویسندگان

  • Jiawei Han
  • Jenny Chiang
  • Sonny Han Seng Chee
  • Jianping Chen
  • Qing Chen
  • Shan Cheng
  • Wan Gong
  • Micheline Kamber
  • Krzysztof Koperski
  • Gang Liu
  • Yijun Lu
  • Nebojsa Stefanovic
  • Lara Winstone
  • Betty Xia
  • Osmar R. Zaïane
  • Shuhua Zhang
  • Hua Zhu
چکیده

A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, classi cation, prediction, and clustering. By incorporating several interesting data mining techniques, including OLAP and attribute-oriented induction, statistical analysis, progressive deepening for mining multiple-level knowledge, and meta-rule guided mining, the system provides a user-friendly, interactive data mining environment with good performance.

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تاریخ انتشار 1997