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» IEPAD: information extraction based on pattern discovery
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MCS
2004
Springer
14 years 29 days ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 6 months ago
Evolving Graph Representation and Visualization
The study of evolution of networks has received increased interest with the recent discovery that many real-world networks possess many things in common, in particular the manner ...
Anurat Chapanond, Mukkai S. Krishnamoorthy, G. M. ...
ECML
2007
Springer
14 years 1 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
ICASSP
2010
IEEE
13 years 6 months ago
Sectored Random Projections for Cancelable Iris Biometrics
Privacy and security are essential requirements in practical biometric systems. In order to prevent the theft of biometric patterns, it is desired to modify them through revocable...
Jaishanker K. Pillai, Vishal M. Patel, Rama Chella...
WSCG
2004
170views more  WSCG 2004»
13 years 9 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...