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SAC
2005
ACM
13 years 10 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
VLDB
1995
ACM
195views Database» more  VLDB 1995»
13 years 8 months ago
Discovery of Multiple-Level Association Rules from Large Databases
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...
Jiawei Han, Yongjian Fu
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
13 years 8 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
SSD
1995
Springer
146views Database» more  SSD 1995»
13 years 8 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han
JIIS
1998
161views more  JIIS 1998»
13 years 4 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh