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SEMCO
2008
IEEE
15 years 6 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
15 years 5 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
15 years 6 months ago
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast
We present a demo of ESTER, a search engine that combines the ease of use, speed and scalability of full-text search with the powerful semantic capabilities of ontologies. ESTER s...
Holger Bast, Fabian M. Suchanek, Ingmar Weber
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 4 months ago
Joins that Generalize: Text Classification Using WHIRL
WHIRL is an extensionof relational databasesthat canperform "soft joins" basedon the similarity of textual identifiers;thesesoftjoins extendthe traditional operationof j...
William W. Cohen, Haym Hirsh