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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 7 days 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...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 days ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
15 years 12 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 12 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
EDBT
2008
ACM
169views Database» more  EDBT 2008»
15 years 12 months ago
Efficient online top-K retrieval with arbitrary similarity measures
The top-k retrieval problem requires finding k objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of the...
Prasad M. Deshpande, Deepak P, Krishna Kummamuru