doi: 10.7763/IJIET.2011.V1.4
WKMSDI: An Optimal Algorithm by Evaluation of Effective Parameters on Data Mining Algorithm
Arash Ghorbannia Delavar1
,
Esmaeil Zeynali Khesraghi2 ,
Majid Feizollahi3 ,
Nasim Anisi4
- 1Payam Noor University, faculty of engineering, Tehran, Iran
- 2Islamic Azad University, Qazvin branch (qiau), qazvin , Iran
- 3Payam Noor University, faculty of engineering, Tehran
- 4Payam Noor University, faculty of engineering, Iran, Tehran
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.
Keywords
- WKMSDI
- ERPSD
- ERPASD
- Data Mining
- Knowledge Base
- Scheduling
- Dependability
How to 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. https://doi.org/10.7763/IJIET.2011.V1.4
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).