11 search results - page 2 / 3 » A Framework for Semi-Supervised Learning Based on Subjective... |
KDD
2008
ACM
14 years 4 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
KDD
2005
ACM
14 years 4 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
KDD
2004
ACM
14 years 4 months ago
2004
ACM
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
KDD
2004
ACM
14 years 4 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
SIGMOD
2009
ACM
14 years 4 months ago
2009
ACM
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...