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» Learning Rules from Distributed Data
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JNCA
2006
114views more  JNCA 2006»
14 years 11 months ago
An evolutionary approach to prototyping pedagogical agents: from simulation to integrated system
We have developed and integrated software agents with two educational groupware systems (TeamWave Workplace and FLE), using evolutionary prototyping and empiricalbased design as d...
Anders I. Mørch, Jan A. Dolonen, Jan Eirik ...
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
15 years 9 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
KDD
2000
ACM
162views Data Mining» more  KDD 2000»
15 years 3 months ago
Data Mining from Functional Brain Images
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
Mitsuru Kakimoto, Chie Morita, Yoshiaki Kikuchi, H...
BMCBI
2008
100views more  BMCBI 2008»
14 years 12 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
AI
2004
Springer
15 years 5 months ago
Distributed Data Mining vs. Sampling Techniques: A Comparison
To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second ...
Mohamed Aounallah, Sébastien Quirion, Guy W...