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

  • Authors:

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

  • Affiliations:

  • Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6;Data Mining Research Group, Intelligent Database Systems Research Laboratory, School of Computing Science, Simon Fraser University, British Columbia, Canada V5A 1S6

  • Venue:
  • CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 1997

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Abstract

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, classification, 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.