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ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 10 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
13 years 11 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
13 years 5 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...
NLDB
2005
Springer
13 years 10 months ago
Combining Biological Databases and Text Mining to Support New Bioinformatics Applications
Abstract. A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapid...
René Witte, Christopher J. O. Baker
CINQ
2004
Springer
225views Database» more  CINQ 2004»
13 years 10 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci