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» Reducing the cognitive complexity of business process models
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FCCM
2008
IEEE
212views VLSI» more  FCCM 2008»
15 years 4 months ago
Map-reduce as a Programming Model for Custom Computing Machines
The map-reduce model requires users to express their problem in terms of a map function that processes single records in a stream, and a reduce function that merges all mapped out...
Jackson H. C. Yeung, C. C. Tsang, Kuen Hung Tsoi, ...
SC
2009
ACM
15 years 4 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
KES
2006
Springer
14 years 9 months ago
Intelligent Environment for Training of Power Systems Operators
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process...
Gustavo Arroyo-Figueroa, Yasmín Herná...
IJET
2007
148views more  IJET 2007»
14 years 9 months ago
ENGLISH LANGUAGE TEACHING WITH AN ELECTRONIC CONCEPT MAPPING
—Educational technologies have contributed greatly to the improvement of the process of education. Besides contributing to education directly, the development in new technologies...
Erdogan Tezci, Cihad Demirli, Vahit Sapar
COGSR
2011
105views more  COGSR 2011»
14 years 4 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann