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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 5 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
IEAAIE
2010
Springer
14 years 9 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
Amelia Zafra, Sebastián Ventura
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 5 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña
PKDD
2009
Springer
107views Data Mining» more  PKDD 2009»
15 years 6 months ago
Neural Networks for State Evaluation in General Game Playing
Unlike traditional game playing, General Game Playing is concerned with agents capable of playing classes of games. Given the rules of an unknown game, the agent is supposed to pla...
Daniel Michulke, Michael Thielscher
FQAS
2006
Springer
101views Database» more  FQAS 2006»
15 years 3 months ago
Cooperative Discovery of Interesting Action Rules
Action rules introduced in [12] and extended further to e-action rules [21] have been investigated in [22], [13], [20]. They assume that attributes in a database are divided into t...
Agnieszka Dardzinska, Zbigniew W. Ras