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» Discovering Classification from Data of Multiple Sources
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DATAMINE
1998
106views more  DATAMINE 1998»
13 years 7 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
IUI
2010
ACM
14 years 4 months ago
Aspect-level news browsing: understanding news events from multiple viewpoints
Aspect-level news browsing provides readers with a classified view of news articles with different viewpoints. It facilitates active interactions with which readers easily discove...
Souneil Park, Sang Jeong Lee, Junehwa Song
ISMIS
2009
Springer
14 years 2 months ago
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
ICPR
2002
IEEE
14 years 8 months ago
Integrated Event Recognition from Multiple Sources
This paper proposes a system architecture for event recognition that integrates information from multiple sources (e.g., gesture and speech recognition from distributed sensors in...
Hiroaki Kawashima, Takashi Matsuyama