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» A Semi-Supervised Document Clustering Algorithm Based on EM
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KDD
2009
ACM
243views Data Mining» more  KDD 2009»
16 years 2 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
AI
2009
Springer
15 years 8 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
LWA
2008
15 years 3 months ago
Labeling Clusters - Tagging Resources
In order to support the navigation in huge document collections efficiently, tagged hierarchical structures can be used. Often, multiple tags are used to describe resources. For u...
Korinna Bade, Andreas Nürnberger
DKE
2007
162views more  DKE 2007»
15 years 1 months ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
CIKM
2001
Springer
15 years 6 months ago
Evaluating Document Clustering for Interactive Information Retrieval
We consider the problem of organizing and browsing the top ranked portion of the documents returned by an information retrieval system. We study the effectiveness of a document o...
Anton Leuski