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» Multiway Clustering for Creating Biomedical Term Sets
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 6 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
SEMWEB
2009
Springer
14 years 23 days ago
What Four Million Mappings Can Tell You about Two Hundred Ontologies
The field of biomedicine has embraced the Semantic Web probably more than any other field. As a result, there is a large number of biomedical ontologies covering overlapping area...
Amir Ghazvinian, Natalya Fridman Noy, Clement Jonq...
BMCBI
2007
120views more  BMCBI 2007»
13 years 6 months ago
Transcript-based redefinition of grouped oligonucleotide probe sets using AceView: High-resolution annotation for microarrays
Background: Extracting biological information from high-density Affymetrix arrays is a multi-step process that begins with the accurate annotation of microarray probes. Shortfalls...
Jun Lu, Joseph C. Lee, Marc L. Salit, Margaret C. ...
CCGRID
2003
IEEE
13 years 11 months ago
Creating Services with Hard Guarantees from Cycle-Harvesting Systems
Abstract— Cycle-harvesting software on commodity computers is available from a number of companies and a significant part of the Grid computing landscape. However, creating comm...
Chris Kenyon, Giorgos Cheliotis
CSIE
2009
IEEE
14 years 1 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck