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» Learning with Knowledge from Multiple Experts
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MLDM
2009
Springer
15 years 2 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 ...
86
Voted
VIS
2007
IEEE
107views Visualization» more  VIS 2007»
15 years 11 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
15 years 4 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
14 years 11 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...
75
Voted
ITCC
2005
IEEE
15 years 3 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