@inproceedings{1ef11ddfc87444249e4b5af91e3a4a04,
title = "DBMiner: A System for Mining Knowledge in Large Relational Databases",
abstract = "A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases.The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classification, and prediction.By incorporating several interesting data mining techniques, including 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.",
author = "Jiawei Han and Yongjian Fu and Wei Wang and Jenny Chiang and Wan Gong and Krzysztof Koperski and Deyi Li and Yijun Lu and Amynmohamed Rajan and Nebojsa Stefanovic and Betty Xia and Zaiane, {Osmar R.}",
note = "Publisher Copyright: {\textcopyright} 1996 AAAI (www.aaai.org). All Rights Reserved.; 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996 ; Conference date: 02-08-1996 Through 04-08-1996",
year = "1996",
language = "English (US)",
series = "Proceedings - 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996",
publisher = "American Association for Artificial Intelligence (AAAI) Press",
pages = "250--255",
editor = "Evangelos Simoudis and Jiawei Han and Fayyad, {Usama M.}",
booktitle = "Proceedings - 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996",
address = "United States",
}