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ECML
2007
Springer
14 years 4 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
CIKM
2001
Springer
14 years 2 months ago
FOCI: Flexible Organizer for Competitive Intelligence
This paper describes how an integrated web-based application, code-named FOCI (Flexible Organizer for Competitive Intelligence), can help the knowledge worker in the gathering, or...
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qi...
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 11 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
DASFAA
2007
IEEE
240views Database» more  DASFAA 2007»
14 years 4 months ago
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....
AIM
2005
13 years 10 months ago
Semantic Integration in Text: From Ambiguous Names to Identifiable Entities
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
Xin Li, Paul Morie, Dan Roth