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KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 3 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
119
Voted
ICTAI
2009
IEEE
15 years 10 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
124
Voted
DASFAA
2009
IEEE
115views Database» more  DASFAA 2009»
15 years 10 months ago
TRUSTER: TRajectory Data Processing on ClUSTERs
With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techni...
Bin Yang 0002, Qiang Ma, Weining Qian, Aoying Zhou
124
Voted
CBMS
2006
IEEE
15 years 5 months ago
Incorporating Gene Ontology in Clustering Gene Expression Data
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
Rafal Kustra, Adam Zagdanski
257
Voted
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 5 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou