Hamid parvin

Work place: Faculty of engineering, department of computer science, Islamic Azad University, Kohgilouye-va-Boyerahmad, Yasouj, Iran

E-mail: parvinhamid@gmail.com

Website:

Research Interests: Computer systems and computational processes, Neural Networks, Data Mining, Data Structures and Algorithms

Biography

Dr. Hamid parvin received PHD Degrees in Artificial intelligence computer engineering from the department of computer engineering, iran science of technology university, tehran, iran, in 2013. he received his M.sc. degrees in Artificial intelligence computer engineering from iran science of technology university, tehran, iran, in 2007, his research interests include Neural Networks and data mining.

Author Articles
Evaluation of Meta-Heuristic Algorithms for Stable Feature Selection

By Maysam Toghraee Hamid parvin Farhad rad

DOI: https://doi.org/10.5815/ijitcs.2016.07.04, Pub. Date: 8 Jul. 2016

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. Data mining is searching for big data sources automatically to find patterns and dependencies which are not done by simple statistical analysis. 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 can not 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 stable algorithms among a set of algorithms.

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