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ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
15 years 10 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 1 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
ICTAI
2006
IEEE
15 years 10 months ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Stéphanie Jacquemont, François Jacqu...
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
15 years 1 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy
ER
2009
Springer
117views Database» more  ER 2009»
15 years 7 months ago
An Ontology-Based Framework for Geographic Data Integration
Ontologies have been extensively used to model domain-specific knowledge. Recent research has applied ontologies to enhance the discovery and retrieval of geographic data in Spatia...
Vânia Maria Ponte Vidal, Eveline R. Sacramen...