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» Data mining: past, present and future
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BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Facilitating the development of controlled vocabularies for metabolomics technologies with text mining
Background: Many bioinformatics applications rely on controlled vocabularies or ontologies to consistently interpret and seamlessly integrate information scattered across public r...
Irena Spasic, Daniel Schober, Susanna-Assunta Sans...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
AAAI
2000
13 years 8 months ago
A Mutually Beneficial Integration of Data Mining and Information Extraction
Text mining concerns applying data mining techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data...
Un Yong Nahm, Raymond J. Mooney
CIKM
2009
Springer
13 years 10 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
ATAL
2003
Springer
14 years 21 days ago
Helping based on future expectations
Autonomous agents interacting in an open world can be considered to be primarily driven by self interests. Previous work in this area has prescribed a strategy of reciprocal behav...
Sabyasachi Saha, Sandip Sen, Partha Sarathi Dutta