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ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
16 years 1 months ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
16 years 1 months ago
Ask the Crowd to Find out What's Important
We present a corpus-based method for estimating the importance of sentences. Our main contribution is two-fold. First, we introduce the idea of using the increasing amount of manu...
Sisay Fissaha Adafre, Maarten de Rijke
ADMA
2007
Springer
106views Data Mining» more  ADMA 2007»
16 years 1 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
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Wilson Wong, Wei Liu, Mohammed Bennamoun
PAKDD
2007
ACM
128views Data Mining» more  PAKDD 2007»
16 years 1 months ago
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
Liefeng Bo, Ling Wang, Licheng Jiao