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ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 2 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
NAACL
2003
13 years 9 months ago
QCS: A Tool for Querying, Clustering, and Summarizing Documents
The QCS information retrieval (IR) system is presented as a tool for querying, clustering, and summarizing document sets. QCS has been developed as a modular development framework...
Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Lea...
HT
2010
ACM
13 years 9 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
JCST
2010
147views more  JCST 2010»
13 years 6 months ago
A New Approach for Multi-Document Update Summarization
Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel app...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
CIKM
2008
Springer
13 years 9 months ago
Winnowing-based text clustering
We present an approach to document clustering based on winnowing fingerprints that achieved good values of effectiveness with considerable save in memory space and computation tim...
Javier Parapar, Alvaro Barreiro