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» Joins that Generalize: Text Classification Using WHIRL
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KDD
1998
ACM
102views Data Mining» more  KDD 1998»
13 years 9 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
FLAIRS
2004
13 years 6 months ago
Automatic Generation of Background Text to Aid Classification
We illustrate that Web searches can often be utilized to generate background text for use with text classification. This is the case because there are frequently many pages on the...
Sarah Zelikovitz, Robert Hafner
ICML
2005
IEEE
14 years 5 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi
WWW
2003
ACM
14 years 5 months ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
JCDL
2005
ACM
175views Education» more  JCDL 2005»
13 years 10 months ago
Automated text classification using a multi-agent framework
Automatic text classification is an important operational problem in digital library practice. Most text classification efforts so far concentrated on developing centralized solut...
Yueyu Fu, Weimao Ke, Javed Mostafa