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KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 7 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
15 years 1 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
EDM
2009
127views Data Mining» more  EDM 2009»
14 years 7 months ago
How do Students Organize Personal Information Spaces?
The purpose of this study is to empirically reveal strategies of students' organization of learning-related digital materials within an online personal information archive. Re...
Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-K...
KDD
2012
ACM
194views Data Mining» more  KDD 2012»
13 years 4 days ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
ADMI
2009
Springer
15 years 4 months ago
A Sequence Mining Method to Predict the Bidding Strategy of Trading Agents
Abstract. In this work, we describe the process used in order to predict the bidding strategy of trading agents. This was done in the context of the Reverse TAC, or CAT, game of th...
Vivia Nikolaidou, Pericles A. Mitkas