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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Feb 2018
Next issue: May 2018
Avg review time: 107 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
Issue 3/2017



Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  1/2008 - 8

Dynamically Integrating Knowledge in Applications An Online Scoring Engine Architecture

GOREA, D. See more information about GOREA, D. on SCOPUS See more information about GOREA, D. on IEEExplore See more information about GOREA, D. on Web of Science
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (603 KB) | Citation | Downloads: 697 | Views: 1,300

Author keywords
data mining, PMML, knowledge, scoring engine, XML native databases, web services

References keywords
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

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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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SCOPUS® Times Cited: 2
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Cited-By CrossRef

[1] 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]

[2] 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

[3] 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

[4] 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

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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.

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