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» Ontology-Enhanced Association Mining
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NBIS
2010
Springer
13 years 3 months ago
Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada
KBS
2002
88views more  KBS 2002»
13 years 5 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
JIPS
2010
165views more  JIPS 2010»
13 years 7 days 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...
DATAMINE
1998
126views more  DATAMINE 1998»
13 years 5 months ago
An Extension to SQL for Mining Association Rules
Data mining evolved as a collection of applicative problems and efficient solution algorithms relative to rather peculiar problems, all focused on the discovery of relevant infor...
Rosa Meo, Giuseppe Psaila, Stefano Ceri
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 5 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