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AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
13 years 10 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 9 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
14 years 19 days 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
IPL
2007
96views more  IPL 2007»
13 years 8 months ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...