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HIS
2003
14 years 11 months ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne
HICSS
2003
IEEE
182views Biometrics» more  HICSS 2003»
15 years 3 months ago
Business Intelligence Explorer: A Knowledge Map Framework for Discovering Business Intelligence on the Web
Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visual...
Wingyan Chung, Hsinchun Chen, Jay F. Nunamaker
EUROPAR
2004
Springer
15 years 3 months ago
Databases, Workflows and the Grid in a Service Oriented Environment
As the Grid moves towards adopting a service-oriented architecture built on Web services, coupling between processes will rely on secure, reliable, and transacted messages and be s...
Zhuoan Jiao, Jasmin L. Wason, Wenbin Song, Fenglia...
ICML
1998
IEEE
15 years 10 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 10 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...