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» Identifying Clusters from Positive Data
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131
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BMCBI
2007
156views more  BMCBI 2007»
15 years 2 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
DKE
2008
108views more  DKE 2008»
15 years 2 months ago
The thematic and citation landscape of Data and Knowledge Engineering
The thematic and citation structures of Data and Knowledge Engineering (DKE) (1985-2007) are identified based on text analysis and citation analysis of the bibliographic records o...
Chaomei Chen, Il-Yeol Song, Xiaojun Yuan, Jian Zha...
103
Voted
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 2 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
121
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ESWA
2006
161views more  ESWA 2006»
15 years 2 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
145
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SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 2 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar