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WWW
2008
ACM
15 years 17 days ago
A Novelty-based Clustering Method for On-line Documents
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
96
Voted
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 4 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
71
Voted
ICSOC
2009
Springer
15 years 7 months ago
Engage: Engineering Service Modes with WS-Engineer and Dino
In this demonstration1 we present an approach to engineering service brokering requirements and capabilities using the concepts of Service Modes. The demonstration illustrates buil...
Howard Foster, Arun Mukhija, David S. Rosenblum, S...
112
Voted
SAC
2009
ACM
15 years 7 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ERCIMDL
1998
Springer
116views Education» more  ERCIMDL 1998»
15 years 5 months ago
Documentation, Cataloging and Query by Navigation: A Practical and Sound Approach
In this paper we discuss the construction of an automated information system for a collection of visual reproductions of art objects. Special attention is payed to the economical a...
F. J. M. Bosman, Peter Bruza, Theo P. van der Weid...