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» How Can Computer Science Contribute to Knowledge Discovery
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EDBT
2000
ACM
15 years 7 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
CBMS
2001
IEEE
15 years 7 months ago
An Interoperable Data Architecture for Data Exchange in a Biomedical Research Network
Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate d...
Daniel J. Crichton, J. Steven Hughes, Gregory J. D...
IDA
2009
Springer
15 years 8 months ago
Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
Knowledge extraction from data volumes of ever increasing size requires ever more flexible tools to facilitate interactive query. Interactivity enables real-time hypothesis testin...
Kenny Gruchalla, Mark Rast, Elizabeth Bradley, Joh...
CIG
2005
IEEE
15 years 9 months ago
Similarity-based Opponent Modelling using Imperfect Domain Theories
Abstract- This paper proposes a similarity-based approach for opponent modelling in multi-agent games. The classification accuracy is increased by adding derived attributes from i...
Timo Steffens
110
Voted
IJRR
2002
105views more  IJRR 2002»
15 years 3 months ago
Computing Wrench Cones for Planar Rigid Body Contact Tasks
The contribution of this paper is the expansion of the range of possibilities in the analysis, planning, and control of contact tasks. The successful execution of any contact task...
Devin J. Balkcom, Jeffrey C. Trinkle