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» Dimensionality Reduction of Clustered Data Sets
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ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 3 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
ICDE
2008
IEEE
126views Database» more  ICDE 2008»
14 years 3 months ago
Monitoring the evolution of interests in the blogosphere
— We describe blogTrust, an innovative modular and extensible prototype application for monitoring changes in the interests of blogosphere participants. We also propose a new app...
Iraklis Varlamis, Vasilis Vassalos, Antonis Palaio...
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 9 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
WSDM
2010
ACM
204views Data Mining» more  WSDM 2010»
14 years 3 months ago
Learning URL patterns for webpage de-duplication
Presence of duplicate documents in the World Wide Web adversely affects crawling, indexing and relevance, which are the core building blocks of web search. In this paper, we pres...
Hema Swetha Koppula, Krishna P. Leela, Amit Agarwa...
NAACL
2003
13 years 10 months ago
Monolingual and Bilingual Concept Visualization from Corpora
e by placing terms in an abstract ‘information space’ based on their occurrences in text corpora, and then allowing a user to visualize local regions of this information space....
Dominic Widdows, Scott Cederberg