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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 11 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 5 months 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 11 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
14 years 4 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 5 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