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» Text Mining at the Term Level
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145
Voted
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
16 years 4 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
110
Voted
CIKM
2010
Springer
15 years 2 months ago
Overview of the 2nd international workshop on search and mining user-generated contents
This overview introduces the aim of the SMUC 2010 workshop, as well as the list of papers presented in the workshop. Categories and Subject Descriptors H.3 [Information Systems]: ...
José Carlos Cortizo, Francisco M. Carrero, ...
113
Voted
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 9 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
150
Voted
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 4 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
121
Voted
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
15 years 10 months ago
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast
We present a demo of ESTER, a search engine that combines the ease of use, speed and scalability of full-text search with the powerful semantic capabilities of ontologies. ESTER s...
Holger Bast, Fabian M. Suchanek, Ingmar Weber