DBMiner: A System for Data Mining in Relational Databases and Data Warehouses'
- Jiawei Han
- Jenny Y. Chiang
- Sonny Chee
- Jianping Chen
- Qing Chen
- Shan Cheng
- Wan Gong
- Micheline Kamber
- Krzysztof Koperski
- Gang Liu
- Yijun Lu
- Nebozjsa Stefanovic
- Lara Winstone
- Betty B. Xia
- Osmar R. Zaiane, University of Alberta (Database)
- Shuhua Zhang
- Hua Zhu
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 fication, 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.
Citation
J. Han, J. Chiang, S. Chee, J. Chen, Q. Chen, S. Cheng, W. Gong, M. Kamber, K. Koperski, G. Liu, Y. Lu, N. Stefanovic, L. Winstone, B. Xia, O. Zaiane, S. Zhang, H. Zhu. "DBMiner: A System for Data Mining in Relational Databases and Data Warehouses'". CASCON: Meeting of Minds, Toronto, Canada, pp 249-260, November 1997.| Keywords: | |
| Category: | In Conference |
| Web Links: | Webdocs |
BibTeX
@incollection{Han+al:CASCON97,
author = {Jiawei Han and Jenny Y. Chiang and Sonny Chee and Jianping Chen and
Qing Chen and Shan Cheng and Wan Gong and Micheline Kamber and Krzysztof
Koperski and Gang Liu and Yijun Lu and Nebozjsa Stefanovic and Lara
Winstone and Betty B. Xia and Osmar R. Zaiane and Shuhua Zhang and Hua Zhu},
title = {DBMiner: A System for Data Mining in Relational Databases and Data
Warehouses'},
Pages = {249-260},
booktitle = {CASCON: Meeting of Minds},
year = 1997,
}Last Updated: February 04, 2020Submitted by Sabina P
