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AAI
2007
132views more  AAI 2007»
13 years 11 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
JIPS
2010
165views more  JIPS 2010»
13 years 6 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...
ICWE
2010
Springer
13 years 9 months ago
Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Daniel Mican, Nicolae Tomai
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
15 years 14 days ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
JUCS
2008
180views more  JUCS 2008»
13 years 11 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek