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AAAI
2010
13 years 11 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
14 years 2 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
IPPS
2000
IEEE
14 years 2 months ago
FANTOMAS: Fault Tolerance for Mobile Agents in Clusters
Abstract. To achieve an efficient utilization of cluster systems, a proper programming and operating environment is required. In this context, mobile agents are of growing interes...
Holger Pals, Stefan Petri, Claus Grewe
WEBNET
2001
13 years 11 months ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable ...
Christo Dichev, Darina Dicheva
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 10 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, ...