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SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
14 years 2 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
AIRWEB
2006
Springer
14 years 20 days ago
Web Spam Detection with Anti-Trust Rank
Spam pages on the web use various techniques to artificially achieve high rankings in search engine results. Human experts can do a good job of identifying spam pages and pages wh...
Vijay Krishnan, Rashmi Raj
NIPS
2000
13 years 10 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
MIDDLEWARE
2007
Springer
14 years 3 months ago
Flexible matching and ranking of web service advertisements
With the growing number of service advertisements in service marketplaces, there is a need for matchmakers which select and rank functionally similar services based on nonfunction...
Navid Ahmadi, Walter Binder
BMCBI
2005
152views more  BMCBI 2005»
13 years 8 months ago
Ranking the whole MEDLINE database according to a large training set using text indexing
Background: The MEDLINE database contains over 12 million references to scientific literature, ut 3/4 of recent articles including an abstract of the publication. Retrieval of ent...
Brian P. Suomela, Miguel A. Andrade