|1/2008 - 8|
Dynamically Integrating Knowledge in Applications An Online Scoring Engine ArchitectureGOREA, D.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (603 KB) | Citation | Downloads: 704 | Views: 1,390|
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.
Web of Science® Times Cited: 1 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 3
View record in SCOPUS® [Free preview]
 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]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.