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149
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WWW
2008
ACM
16 years 5 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
138
Voted
IFIP
1992
Springer
15 years 9 months ago
Intelligent Access to Data and Knowledge Bases via User's Topics of Interest
Retrieving relevant information in Data and Knowledge Bases containing a large number of di erent types of information is a non trivial problem. That is the reason why, in areas l...
Sylvie Cazalens, Robert Demolombe
KDD
2007
ACM
145views Data Mining» more  KDD 2007»
15 years 11 months ago
Tracking multiple topics for finding interesting articles
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...
107
Voted
SDM
2007
SIAM
90views Data Mining» more  SDM 2007»
15 years 6 months ago
Co-Preserving Patterns in Bipartite Partitioning for Topic Identification
Tianming Hu, Hui Xiong, Sam Yuan Sung
DSN
2004
IEEE
15 years 8 months ago
Data-Aware Multicast
This paper presents a multicast algorithm for peer-topeer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain ...
Sébastien Baehni, Patrick Th. Eugster, Rach...