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» Mining Text Using Keyword Distributions
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88
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WSDM
2009
ACM
112views Data Mining» more  WSDM 2009»
15 years 6 months ago
Finding text reuse on the web
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
Michael Bendersky, W. Bruce Croft
KDD
2004
ACM
192views Data Mining» more  KDD 2004»
16 years 2 days ago
Mining and summarizing customer reviews
Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and mor...
Minqing Hu, Bing Liu
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 2 days ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 2 days ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
87
Voted
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 5 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter