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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
AI
2001
Springer
14 years 3 days ago
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
As new transactions update data sources and subsequently the data warehouse, the previously discovered association rules in the old database may no longer be interesting rules in ...
Zequn Zhou, C. I. Ezeife
DAWAK
2008
Springer
13 years 9 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
VLDB
2005
ACM
125views Database» more  VLDB 2005»
14 years 1 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
KDD
1994
ACM
97views Data Mining» more  KDD 1994»
13 years 11 months ago
From Facts to Rules to Decisions: An Overview of the FRD-1 System
Oneof the central goals of knowledgediscovery in databases is to produceknowledgeuseful for decision making. However,the form in which knowledgecan be easily discovered is often d...
Ibrahim F. Imam, Ryszard S. Michalski