• May 03, 2016 News! IJIET Vol. 5, No. 10 has been indexed by EI (Inspec).   [Click]
  • Mar 13, 2017 News!Vol. 7, No. 5 has been indexed by Crossref.
  • Mar 10, 2017 News!Vol. 7, No. 5 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2011 Vol.1(1): 20-23 ISSN: 2010-3689
DOI: 10.7763/IJIET.2011.V1.4

WKMSDI: An Optimal Algorithm by Evaluation of Effective Parameters on Data Mining Algorithm

Arash Ghorbannia Delavar, Esmaeil Zeynali Khesraghi, Majid Feizollahi, and Nasim Anisi

Abstract—In this paper, we will present an optimal algorithm by evaluation of effective parameters on data mining algorithm. Using effective parameters on interactions of clustering method, this algorithm, WKMSDI, increases speed of data recovery. It occurs when our qualification function can optimize or improve clustering scope with given parameters.
Attached parameters to basic function of k-means help us to increase system efficiency. For this purpose, recommended algorithm, compared to the preceding algorithms, increases system reliability for high processing. Effective parameters increase algorithm quality more than the compared algorithm. This needs integration of specific parameters to enhance system performance.
For enhancing quality in distributed integrated systems, we require the procedures which have direct access to some parameters. Usually, effective parameters increase system efficiency in very high interactions.

Index Terms—WKMSDI ; ERPSD ; ERPASD; Data Mining ; Knowledge Base ; Scheduling ; Dependability.

Payam Noor University, faculty of engineering, Tehran, Iran , email: a_ghorbannia@pnu.ac.ir
Islamic Azad University, Qazvin branch (qiau), qazvin , Iran , email: zeinali@qiau.ac.ir
Payam Noor University, faculty of engineering, Tehran,email:IranMfeiz78@gmail.com
Payam Noor University, faculty of engineering, Iran, Tehran, email: n.anisi@oiic-ir.com

[PDF]

Cite: Arash Ghorbannia Delavar, Esmaeil Zeynali Khesraghi, Majid Feizollahi, and Nasim Anisi, "WKMSDI: An Optimal Algorithm by Evaluation of Effective Parameters on Data Mining Algorithm," International Journal of Information and Education Technology vol. 1, no. 1, pp. 20-23, 2011.

Copyright © 2008-2016. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net