DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases.

@inproceedings{DBLP:conf/sigmod/HanFWCZK96,
  author    = {Jiawei Han and
               Yongjian Fu and
               Wei Wang and
               Jenny Chiang and
               Osmar R. Za\"{\i}ane and
               Krzysztof Koperski},
  editor    = {H. V. Jagadish and
               Inderpal Singh Mumick},
  title     = {DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational
               Databases},
  booktitle = {Proceedings of the 1996 ACM SIGMOD International Conference on
               Management of Data, Montreal, Quebec, Canada, June 4-6, 1996},
  publisher = {ACM Press},
  year      = {1996},
  pages     = {550},
  ee        = {http://doi.acm.org/10.1145/233269.280356, db/conf/sigmod/HanFWCZK96.html},
  crossref  = {DBLP:conf/sigmod/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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References

[1]

Jiawei Han, Yandong Cai, Nick Cercone: Data-Driven Discovery of Quantitative Rules in Relational Databases. IEEE Trans. Knowl. Data Eng. 5(1): 29-40(1993)

[2]

Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431

[3]

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