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» The Inverse Classification Problem
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117
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KDD
1998
ACM
136views Data Mining» more  KDD 1998»
15 years 6 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
185
Voted
RIVF
2008
15 years 4 months ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
138
Voted
APBC
2004
138views Bioinformatics» more  APBC 2004»
15 years 4 months ago
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
109
Voted
DMIN
2006
114views Data Mining» more  DMIN 2006»
15 years 4 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
139
Voted
DMIN
2006
150views Data Mining» more  DMIN 2006»
15 years 4 months ago
Effect of Document Representation on the Performance of Medical Document Classification
Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the p...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...