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KDD
2006
ACM
222views Data Mining» more  KDD 2006»
15 years 10 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...
Julien Etienne, Bernd Wachmann, Lei Zhang
97
Voted
EVOW
2003
Springer
15 years 2 months ago
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
William B. Langdon, S. J. Barrett, Bernard F. Buxt...
ISMB
1993
14 years 11 months ago
Knowledge Discovery in GENBANK
Wedescribe various methods designed to discover knowledge in the GenBanknucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a ge...
Jeffery S. Aaronson, Juergen Haas, G. Christian Ov...
JWSR
2007
114views more  JWSR 2007»
14 years 9 months ago
Development of Distance Measures for Process Mining, Discovery and Integration
: Business processes continue to play an important role in today’s service-oriented enterprise computing systems. Mining, discovering, and integrating process-oriented services h...
Joonsoo Bae, Ling Liu, James Caverlee, Liang-Jie Z...
83
Voted
JWSR
2007
83views more  JWSR 2007»
14 years 9 months ago
Web Service Discovery and Composition for Virtual Enterprises
: One main characteristic of virtual enterprises are short-term collaborations between business partners to provide efficient and individualized services to customers. The MOVE pro...
Jürgen Dorn, Peter Hrastnik, Albert Rainer