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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 80 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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 Volume 18 (2018)
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 Volume 17 (2017)
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 Volume 16 (2016)
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 Volume 15 (2015)
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     »   Issue 2 / 2015
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Thermal Response Estimation in Substation Connectors Using Data-Driven Models, GIACOMETTO, F., CAPELLI, F., ROMERAL, L., RIBA, J.-R., SALA, E.
Issue 3/2016


Consistency Analysis of Ultrasound Echoes within a Dual Symmetric Path Inspection Framework, VASILE, C., STAMATESCU, G., SGARCIU, V., IOANA, C.
Issue 2/2015


Incorporating the Avoidance Behavior to the Standard Particle Swarm Optimization 2011, ALTINOZ, O. T., YILMAZ, A. E., DUCA, A., CIUPRINA, G.
Issue 2/2015


Multifunctional current-mode filter with dual-parameter control of the pole frequency, JERABEK, J., DVORAK, J., SOTNER, R., METIN, B., VRBA, K.
Issue 3/2016


Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method, NAZARLOO, A., FEYZI, M. R., SABAHI, M., BANNAE SHARIFIAN, M. B.
Issue 1/2018


Automatic Mining of Numerical Classification Rules with Parliamentary Optimization Algorithm, KIZILOLUK, S., ALATAS, B.
Issue 4/2015



Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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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 in 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: 704 | Views: 1,390

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: 3
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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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Copyright ©2001-2018
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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