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» Information extraction, data mining and joint inference
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EUSFLAT
2007
105views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
SPoID: Do Not Throw Meaningful Incomplete Sequences Away!
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
Céline Fiot, Anne Laurent, Maguelonne Teiss...
ICDM
2007
IEEE
198views Data Mining» more  ICDM 2007»
15 years 4 months ago
Social Network Extraction of Academic Researchers
This paper addresses the issue of extraction of an academic researcher social network. By researcher social network extraction, we are aimed at finding, extracting, and fusing the...
Jie Tang, Duo Zhang, Limin Yao
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
15 years 4 months ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...
DAWAK
2008
Springer
14 years 11 months ago
Document-Base Extraction for Single-Label Text Classification
Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
Yanbo J. Wang, Robert Sanderson, Frans Coenen, Pau...
NLDB
2005
Springer
15 years 3 months ago
Combining Biological Databases and Text Mining to Support New Bioinformatics Applications
Abstract. A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapid...
René Witte, Christopher J. O. Baker