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» A Semi-Supervised Document Clustering Technique for Informat...
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SIGIR
2006
ACM
14 years 1 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
ICDE
2008
IEEE
241views Database» more  ICDE 2008»
14 years 9 months ago
PictureBook: A Text-and-Image Summary System for Web Search Result
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfa...
Baile Shi, Guoyu Hao, Hongtao Xu, Mei Wang, Qi Zha...
DGO
2006
148views Education» more  DGO 2006»
13 years 9 months ago
Automatically labeling hierarchical clusters
Government agencies must often quickly organize and analyze large amounts of textual information, for example comments received as part of notice and comment rulemaking. Hierarchi...
Pucktada Treeratpituk, Jamie Callan
SIGIR
2008
ACM
13 years 7 months ago
On document splitting in passage detection
Passages can be hidden within a text to circumvent their disallowed transfer. Such release of compartmentalized information is of concern to all corporate and governmental organiz...
Nazli Goharian, Saket S. R. Mengle
EL
2008
91views more  EL 2008»
13 years 7 months ago
A novel self-organising clustering model for time-event documents
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
Chihli Hung, Stefan Wermter