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» Classification of Web Documents Using a Graph Model
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KDD
2001
ACM
181views Data Mining» more  KDD 2001»
15 years 10 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
ML
2000
ACM
124views Machine Learning» more  ML 2000»
14 years 9 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
WWW
2001
ACM
15 years 10 months ago
Interactive Web Search by Graphical Query Refinement
We propose a new Web search system that helps users clarify their information needs through interaction. The system represents the user's information needs using a query grap...
Junji Tomita, Gen-ichiro Kikui
HCI
2001
14 years 11 months ago
Towards generating textual summaries of graphs
For people who use text-based web browsers, graphs, diagrams, and pictures are inaccessible. Yet, such diagrams are quite prominent in documents commonly found on the web. In this...
Kathleen F. McCoy, Sandra Carberry, Tom Roper, Nan...
SIGIR
2002
ACM
14 years 9 months ago
Automatic classification in product catalogs
In this paper, we present the AutoCat system for product classification. AutoCat uses a vector space model, modified to consider product attributes unavailable in traditional docu...
Ben Wolin