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» Mining Very Large Databases
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122
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KBS
2002
141views more  KBS 2002»
15 years 3 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
ICDIM
2008
IEEE
15 years 10 months ago
A fast approximate algorithm for large-scale Latent Semantic Indexing
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....
Dell Zhang, Zheng Zhu
138
Voted
SIGMOD
2004
ACM
88views Database» more  SIGMOD 2004»
16 years 3 months ago
Using Reasoning to Guide Annotation with Gene Ontology Terms in GOAT
High-quality annotation of biological data is central to bioinformatics. Annotation using terms from ontologies provides reliable computational access to data. The Gene Ontology (...
Michael Bada, Daniele Turi, Robin McEntire, Robert...
119
Voted
ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
15 years 9 months ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
129
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ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 9 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...