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VLDB
2005
ACM
180views Database» more  VLDB 2005»
13 years 11 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
APIN
2006
168views more  APIN 2006»
13 years 6 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
HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
13 years 11 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
KR
2010
Springer
13 years 11 months ago
Worst-Case Optimal Reasoning for the Horn-DL Fragments of OWL 1 and 2
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...
Magdalena Ortiz, Sebastian Rudolph, Mantas Simkus
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 6 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny