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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 4 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
120
Voted
ESWS
2010
Springer
15 years 8 months ago
Interactive Relationship Discovery via the Semantic Web
This paper presents an approach for the interactive discovery of relationships between selected elements via the Semantic Web. It emphasizes the human aspect of relationship discov...
Philipp Heim, Steffen Lohmann, Timo Stegemann
CIKM
2009
Springer
15 years 8 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
114
Voted
WEBI
2004
Springer
15 years 9 months ago
An Integrated Approach to Discovery in Complex Information Spaces
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Daryl H. Hepting, Cory J. Butz
125
Voted
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
16 years 4 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles