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» Learning with Knowledge from Multiple Experts
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MLDM
2009
Springer
14 years 1 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
VIS
2007
IEEE
107views Visualization» more  VIS 2007»
14 years 9 months ago
Semantic Layers for Illustrative Volume Rendering
Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. ...
Peter Rautek, Stefan Bruckner, M. Eduard Grölle...
SAC
2009
ACM
14 years 3 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ECTEL
2008
Springer
13 years 10 months ago
Bridging the Gap between Practitioners and E-Learning Standards: A Domain-Specific Modeling Approach
Developing a learning design using IMS Learning Design (LD) is difficult for average practitioners because a high overhead of pedagogical knowledge and technical knowledge is requi...
Yongwu Miao, Tim Sodhi, Francis Brouns, Peter B. S...
ITCC
2005
IEEE
14 years 2 months ago
Dynamic Web Content Filtering based on User's Knowledge
This paper focuses on the development of a maintainable information filtering system. The simple and efficient solution to this problem is to block the Web sites by URL, including...
N. Churcharoenkrung, Yang Sok Kim, Byeong Ho Kang