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» Management of UML Clusters
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 10 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
ICAIL
2005
ACM
14 years 3 months ago
Effective Document Clustering for Large Heterogeneous Law Firm Collections
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
JSS
2007
121views more  JSS 2007»
13 years 9 months ago
Opportunistic prioritised clustering framework for improving OODBMS performance
In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly...
Zhen He, Richard Lai, Alonso Marquez, Stephen Blac...
BMCBI
2010
121views more  BMCBI 2010»
13 years 7 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
JODS
2006
166views Data Mining» more  JODS 2006»
13 years 10 months ago
Model-Driven Ontology Engineering
W3C's Semantic Web provides a common framework that allows data to be shared and reused across application and enterprise. As the Semantic Web shapes the future of the Web, it...
Yue Pan, Guo Tong Xie, Li Ma, Yang Yang, Zhaoming ...