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» Mining Association Rules in Hypertext Databases
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FLAIRS
2003
13 years 10 months ago
Logical Identities Applied to Knowledge Discovery in Databases
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
14 years 28 days ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
ICDE
2003
IEEE
246views Database» more  ICDE 2003»
14 years 10 months ago
Mining Customer Value: From Association Rules to Direct Marketing
Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang...
FQAS
2000
Springer
137views Database» more  FQAS 2000»
14 years 10 days ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
ADVIS
2004
Springer
14 years 2 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...