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» Numbers in Multi-relational Data Mining
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PKDD
2000
Springer
113views Data Mining» more  PKDD 2000»
15 years 8 months ago
CEM-Visualisation and Discovery in Email
Abstract. This paper presents a lattice-based visual metaphor for knowledge discovery in electronic mail. It allow a user to navigate email using a visual lattice metaphor rather t...
Richard J. Cole II, Peter W. Eklund, Gerd Stumme
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
15 years 2 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 6 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
157
Voted
KDD
1999
ACM
166views Data Mining» more  KDD 1999»
15 years 9 months ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 2 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...