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» Fast Text Classification Using Sequential Sampling Processes
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AUSAI
2001
Springer
13 years 9 months ago
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Michael D. Lee
CIKM
2005
Springer
13 years 10 months ago
Fast webpage classification using URL features
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification. This approach is magnitudes faster than typical web page classific...
Min-Yen Kan, Hoang Oanh Nguyen Thi
ISCI
2006
136views more  ISCI 2006»
13 years 5 months ago
Computing with words for text processing: An approach to the text categorization
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed. This specific problem of information retrieval (IR) becomes more...
Slawomir Zadrozny, Janusz Kacprzyk
SIGIR
2002
ACM
13 years 4 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
ICASSP
2011
IEEE
12 years 9 months ago
Time-constrained sequential pattern discovery for music genre classification
Music consists of both local and long-term temporal information. However, for a genre classification task, most of the text categorization based approaches only capture local temp...
Jia-Min Ren, Jyh-Shing Roger Jang