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» Using Data Mining for Wine Quality Assessment
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148
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SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
15 years 9 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
135
Voted
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
15 years 9 months ago
Analyzing High-Dimensional Data by Subspace Validity
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...
110
Voted
WECWIS
2007
IEEE
119views ECommerce» more  WECWIS 2007»
15 years 10 months ago
Towards an Objective Assessment of Centrality Measures in Reputation Systems
Reputation systems facilitate cooperation in open environments. Centrality-based reputation systems use centrality measures to rank individuals, i.e., compute their reputation bas...
Christian von der Weth, Klemens Böhm
ESANN
2000
15 years 5 months ago
Evaluating SOMs using order metrics
It has been shown that self-organized maps, when adequately trained with the set of integers 1 to 32, lay out real numbers in a 2D map in an ordering that is superior to any of the...
Arnulfo P. Azcarraga
ADMA
2007
Springer
106views Data Mining» more  ADMA 2007»
15 years 10 months ago
Topic Extraction with AGAPE
This paper uses an optimization approach to address the problem of conceptual clustering. The aim of AGAPE, which is based on the tabu-search meta-heuristic using split, merge and ...
Julien Velcin, Jean-Gabriel Ganascia