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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 2 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
CN
1998
95views more  CN 1998»
15 years 2 months ago
The Limits of Web Metadata, and Beyond
The World Wide Web currently has a huge amount of data, with practically no classification information, and this makes it extremely difficult to handle effectively. It has been re...
Massimo Marchiori
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 2 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
108
Voted
BMCBI
2008
116views more  BMCBI 2008»
15 years 2 months ago
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor
Background: Transcription factors (TFs) are core functional proteins which play important roles in gene expression control, and they are key factors for gene regulation network co...
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun...
SIGIR
1992
ACM
15 years 6 months ago
Classifying News Stories using Memory Based Reasoning
ct tasks such as extraction of relational information from text [Young] [Jacobs]. We describe a method for classifying news stories using Alternative systems [Biebricher] [Lewis] u...
Brij M. Masand, Gordon Linoff, David L. Waltz