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» Techniques of Cluster Algorithms in Data Mining
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VLDB
2004
ACM
115views Database» more  VLDB 2004»
15 years 11 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
16 years 3 months ago
CORE: Nonparametric Clustering of Large Numeric Databases.
Current clustering techniques are able to identify arbitrarily shaped clusters in the presence of noise, but depend on carefully chosen model parameters. The choice of model param...
Andrej Taliun, Arturas Mazeika, Michael H. Bö...
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
15 years 11 months ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa
PAMI
2008
197views more  PAMI 2008»
15 years 6 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...