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» Towards Automatic Detection and Tracking of Topic Change
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NIPS
2001
13 years 8 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
Exploring supervised and unsupervised methods to detect topics in biomedical text
Background: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on infor...
Minsuk Lee, Weiqing Wang, Hong Yu
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 7 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
WWW
2008
ACM
14 years 8 months ago
Automatic online news issue construction in web environment
In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary,...
Canhui Wang, Min Zhang, Shaoping Ma, Liyun Ru
KBS
2006
90views more  KBS 2006»
13 years 7 months ago
Emerging topic tracking system in WWW
Due to its open characteristic, the Web is being posted with vast amount of new information changes continuously. Consequently, at any time, it is conceivable that there will be h...
Khoo Khyou Bun, Mitsuru Ishizuka