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PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
16 years 1 months ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
CIKM
2003
Springer
16 years 25 days ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
ACIVS
2008
Springer
15 years 9 months ago
Efficient and Flexible Cluster-and-Search for CBIR
Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...
DSS
2006
76views more  DSS 2006»
15 years 7 months ago
Mining web navigations for intelligence
The Internet is one of the fastest growing areas of intelligence gathering. We present a statistical approach, called principal clusters analysis, for analyzing millions of user n...
Harris Wu, Michael D. Gordon, Kurt DeMaagd, Weiguo...
SIMPRA
2008
74views more  SIMPRA 2008»
15 years 7 months ago
A model for simulating reputation dynamics in industrial districts
In this work we try to draw an interdisciplinary framework aimed to integrate a socio-cognitive approach with organizational research about industrial clusters, in order to invest...
Francesca Giardini, Gennaro di Tosto, Rosaria Cont...