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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Evaluation Average Total Data Set Learning Machine On The Meta Heuristic Algorithm
Author Name:
Maysam Toghraee, Mrziyeh Bahrami, Hamid parvin, Sepideh Ghahramanzadeh Namin, Elham Safari jokandan, Mohammad Esmaeili, Farhad Rad
Abstract:
Abstract Now a days, developing the science and technology and technology tools, the ability of reviewing and saving the important data has been provided. It is needed to have knowledge for searching the data to reach the necessary useful results. The scope is to study the predictive role and usage domain of data mining in medical science and suggesting a frame for creating, assessing and exploiting the data mining patterns in this field. As it has been found out from previous researches that assessing methods cannot be used to specify the data discrepancies, our suggestion is a new approach for assessing the data similarities to find out the relations between the variation in data and stability in selection. Therefore we have chosen Meta heuristic methods to be able to choose the best and the cluster algorithms among a set of algorithms. Keywords: feature selection, data mining, algorithm cluster, heuristic methods
Cite this article:
Maysam Toghraee, Mrziyeh Bahrami, Hamid parvin, Sepideh Ghahramanzadeh Namin, Elham Safari jokandan, Mohammad Esmaeili, Farhad Rad , " Evaluation Average Total Data Set Learning Machine On The Meta Heuristic Algorithm" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 037-043 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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