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» An effective refinement strategy for KNN text classifier
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ESWA
2006
149views more  ESWA 2006»
11 years 11 months ago
An effective refinement strategy for KNN text classifier
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an...
Songbo Tan
CIKM
2005
Springer
12 years 5 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
11 years 9 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
COLING
2002
11 years 11 months ago
Multi-Dimensional Text Classification
This paper proposes a multi-dimensional framework for classifying text documents. In this framework, the concept of multidimensional category model is introduced for representing ...
Thanaruk Theeramunkong, Verayuth Lertnattee
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
12 years 6 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender
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