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JCR Impact Factor: 0.459
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Issues per year: 4
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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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Broken Bar Fault Detection in IM Operating Under No-Load Condition, RELJIC, D., JERKAN, D., MARCETIC, D., OROS, D.
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Anomaly Detection Using Power Signature of Consumer Electrical Devices, CERNAZANU-GLAVAN, C., MARCU, M.
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Optimizing Decision Tree Attack on CAS Scheme, PERKOVIC, T., BUGARIC, M., CAGALJ, M.
Issue 2/2016


Stability Aspects in One-Cycle Controlled Buck Converters, GURBINA, M., LASCU, D.
Issue 1/2014


Single-phase Multilevel Current Source Inverter with Reduced Device Count and Current Balancing Capability, MOALLEMI KHIAVI, A., FARHADI KANGARLU, M., DAIE KOOZEHKANANI, Z., SOBHI, J., HOSSEINI, S. H.
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Visual Peoplemeter: A Vision-based Television Audience Measurement System, SKELIN, A. K., SUPUK, T. G., BONKOVIC, M.
Issue 4/2014


A Novel Non-Iterative Method for Real-Time Parameter Estimation of the Fricke-Morse Model, SIMIC, M., BABIC, Z., RISOJEVIC, V., STOJANOVIC G. M.
Issue 4/2016



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 "Big Data - " before the paper title in OpenConf.

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Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  4/2015 - 3

Automatic Mining of Numerical Classification Rules with Parliamentary Optimization Algorithm

KIZILOLUK, S. See more information about KIZILOLUK, S. on SCOPUS See more information about KIZILOLUK, S. on IEEExplore See more information about KIZILOLUK, S. on Web of Science, ALATAS, B. See more information about ALATAS, B. on SCOPUS See more information about ALATAS, B. on SCOPUS See more information about ALATAS, B. on Web of Science
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Author keywords
classification algorithms, computational intelligence, data mining, heuristic algorithms, optimization

References keywords
optimization(15), algorithm(7), science(5), parliamentary(5), mining(5), classification(5), rules(4), global(4), alatas(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 17 - 24
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04003
Web of Science Accession Number: 000368499800003
SCOPUS ID: 84949980538

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In recent years, classification rules mining has been one of the most important data mining tasks. In this study, one of the newest social-based metaheuristic methods, Parliamentary Optimization Algorithm (POA), is firstly used for automatically mining of comprehensible and accurate classification rules within datasets which have numerical attributes. Four different numerical datasets have been selected from UCI data warehouse and classification rules of high quality have been obtained. Furthermore, the results obtained from designed POA have been compared with the results obtained from four different popular classification rules mining algorithms used in WEKA. Although POA is very new and no applications in complex data mining problems have been performed, the results seem promising. The used objective function is very flexible and many different objectives can easily be added to. The intervals of the numerical attributes in the rules have been automatically found without any a priori process, as done in other classification rules mining algorithms, which causes the modification of datasets.

References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Full Text] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]

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[16] A. Borji, "A new global optimization algorithm inspired by parliamentary political competitions", Lecture Notes in Computer Science, vol. 4827, pp. 61-71, 2007.

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[21] L. de-Marcos, A. García, E. Garcia, J. J. Martinez, J. A. Gutierrez, R. Barchino, J. M. Gutierrez, J. R. Hilera, S. Oton, "An adaptation of the parliamentary metaheuristic for permutation constraint satisfaction", IEEE Congress on Evolutionary Computation (CEC), pp.1-8, 2010.
[CrossRef] [SCOPUS Record]

References Weight

Web of Science® Citations for all references: 21,259 TCR
SCOPUS® Citations for all references: 7,217 TCR

Web of Science® Average Citations per reference: 966 ACR
SCOPUS® Average Citations per reference: 328 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references background updated on 2017-02-27 02:00 in 123 seconds.

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