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» Efficient Algorithms for Discovering Association Rules
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AI
2001
Springer
14 years 2 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
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 7 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
ICDE
1998
IEEE
270views Database» more  ICDE 1998»
14 years 9 months ago
Cyclic Association Rules
We study the problem of discovering association rules that display regular cyclic variation over time. For example, if we compute association rules over monthly sales data, we may...
Banu Özden, Sridhar Ramaswamy, Abraham Silber...
APIN
2006
168views more  APIN 2006»
13 years 7 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
JIPS
2010
165views more  JIPS 2010»
13 years 2 months ago
IMTAR: Incremental Mining of General Temporal Association Rules
Nowadays due to the rapid advances in the field of information systems, transactional databases are being updated regularly and/or periodically. The knowledge discovered from these...
Anour F. A. Dafa-Alla, Ho-Sun Shon, Khalid E. K. S...