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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
16 years 1 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
16 years 1 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
AUSDM
2007
Springer
121views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Using Corpus Analysis to Inform Research into Opinion Detection in Blogs
Opinion detection research relies on labeled documents for training data, either by assumptions based on the document’s origin or by using human assessors to categorise the docu...
Deanna J. Osman, John Yearwood, Peter Vamplew
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
16 years 1 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo