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» A Re-Examination of Text Categorization Methods
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ADCS
2004
13 years 8 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
13 years 11 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
ECML
2001
Springer
13 years 12 months ago
Iterative Double Clustering for Unsupervised and Semi-supervised Learning
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
Ran El-Yaniv, Oren Souroujon
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
14 years 7 months ago
Mining multi-faceted overviews of arbitrary topics in a text collection
A common task in many text mining applications is to generate a multi-faceted overview of a topic in a text collection. Such an overview not only directly serves as an informative...
Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Sc...
IDA
2002
Springer
13 years 7 months ago
Boosting strategy for classification
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...