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» The Method of Quantum Clustering
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SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 8 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
ESANN
2000
15 years 8 months ago
Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
In this paper we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm co...
Armando Bazzani, Alessandro Bevilacqua, Dante Boll...
DEXAW
2010
IEEE
231views Database» more  DEXAW 2010»
15 years 7 months ago
Extracting User Interests from Search Query Logs: A Clustering Approach
-- This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semant...
Lyes Limam, David Coquil, Harald Kosch, Lionel Bru...
TKDE
2002
133views more  TKDE 2002»
15 years 6 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
195
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IDEAL
2010
Springer
15 years 5 months ago
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...
Luke Dicken, John Levine