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» Scalable Text Retrieval for Large Digital Libraries
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 8 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 2 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
ICCS
2005
Springer
14 years 1 months ago
Games of Inquiry for Collaborative Concept Structuring
Google’s project to digitize five of the world's greatest libraries will dramatically extend their search engine reach in the future. Current search-engine philosophy, which...
Mary A. Keeler, Heather D. Pfeiffer
SIGIR
1996
ACM
13 years 12 months ago
Performance Evaluation of a Distributed Architecture for Information Retrieval
Information explosion across the Internet and elsewhere offers access to an increasing number of document collections. In order for users to e ectively access these collections, i...
Brendon Cahoon, Kathryn S. McKinley
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
13 years 6 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...