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CINQ
2004
Springer
125views Database» more  CINQ 2004»
14 years 2 months ago
Deducing Bounds on the Support of Itemsets
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
Toon Calders
ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
14 years 2 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
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
14 years 21 days ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
KDD
1999
ACM
193views Data Mining» more  KDD 1999»
14 years 1 months ago
Data Mining of User Navigation Patterns
Abstract. We propose a data mining model that captures the user navigation behaviour patterns. The user navigation sessions are modelled as a hypertext probabilistic grammar whose ...
José Borges, Mark Levene
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
14 years 9 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook