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Dynamically Integrating Knowledge in Applications An Online Scoring Engine ArchitectureGOREA, D.
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data mining, PMML, knowledge, scoring engine, XML native databases, web services
link(13), mining(7), data(7), services(4), knowledge(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 44 - 49
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01008
Web of Science Accession Number: 000259903500008
SCOPUS ID: 77955624925
The paper presents an method for dynamically integrating knowledge capabilities into applications.The method consists in the applications cooperating with a dedicated system that provides knowledge via Web Services. We propose such a system, called DeVisa, which collects prediction models from one or more producers and provides prediction services to consumers. The prediction services are further used in decision making or business intelligence processes within the consumer applications.
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 Training Neural Networks Using Input Data Characteristics, CERNAZANU, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 8, 2008.
Digital Object Identifier: 10.4316/aece.2008.02012 [CrossRef] [Full text]
 Predictive model representation and comparison: Towards data and predictive models governance, Makhtar, Mokhairi, Neagu, Daniel C., Ridley, Mick, 2010 UK Workshop on Computational Intelligence (UKCI), ISBN 978-1-4244-8774-5, 2010.
Digital Object Identifier: 10.1109/UKCI.2010.5625573 [CrossRef]
 Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing, Ferguson, Max, Law, Kincho H., Bhinge, Raunak, Dornfeld, David, Park, Jinkyoo, Lee, Yung-Tsun Tina, 2016 IEEE International Conference on Big Data (Big Data), ISBN 978-1-4673-9005-7, 2016.
Digital Object Identifier: 10.1109/BigData.2016.7840824 [CrossRef]
 Optimisation of Classifier Ensemble for Predictive Toxicology Applications, Makhtar, Mokhairi, Yang, Longzhi, Neagu, Daniel, Ridley, Mick, 2012 UKSim 14th International Conference on Computer Modelling and Simulation, ISBN 978-1-4673-1366-7, 2012.
Digital Object Identifier: 10.1109/UKSim.2012.41 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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