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» Using Probabilistic Information in Data Integration
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
16 years 1 days ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
IR
2006
15 years 6 months ago
Multilingual modeling of cross-lingual spelling variants
Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of ...
Krister Lindén
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
16 years 3 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais
CEC
2009
IEEE
16 years 1 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
BMCBI
2007
146views more  BMCBI 2007»
15 years 6 months ago
Towards Semantic e-Science for Traditional Chinese Medicine
Background: Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information r...
Huajun Chen, Yuxin Mao, Xiaoqing Zheng, Meng Cui, ...