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» Compositional Variability - Concepts and Patterns
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 3 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
114
Voted
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 15 days ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
BMCBI
2008
160views more  BMCBI 2008»
15 years 3 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
FUIN
2008
136views more  FUIN 2008»
15 years 3 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...
MCS
2011
Springer
14 years 6 months ago
Investigating other leading indicators influencing Australian domestic tourism demand
: In the tourism demand literature, much of the research focuses on income and price variables as demand determinants for travel. Nevertheless, the literature has neglected other p...
Ghialy Yap, David Allen