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PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
14 years 4 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...
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
14 years 4 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
PKDD
2005
Springer
145views Data Mining» more  PKDD 2005»
14 years 4 months ago
A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns
For an undirected graph ¢ without self-loop, we prove: (i) that the number of closed patterns in the adjacency matrix of ¢ is even; (ii) that the number of the closed patterns i...
Jinyan Li, Haiquan Li, Donny Soh, Limsoon Wong
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
14 years 4 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
14 years 4 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta