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Expired Date:
Oct. 30, 2015
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Data Mining Applications
Lead Guest Editor:
Seyyed Reza Khaze
Elite Club, Dehdasht Branch, Islamic Azad University, Dehdasht, Iran
Guest Editors
Department of Computer, Amirkabir University of Technology
Tehran, Iran
Young Researchers and Elite Club, Islamic Azad University
Islamic Azad University, Iran
Xia Xie
School of Computer Science and Technology, Huazhong University of Science and Technology
Wuhan, Hubei, China
International Engineering and Technology Institute (IETI)
Long Xuyen, An Giang, Vietnam
School of Geograpy & Remote Sensing, Nanjing University of Information Science & Technology
Nanjing, Jiangsu Provence, China
Department for Technical Education and IT, Faculty of Education in Bijeljina, University of East Sarajevo
Bijeljina, Bosnia and Herzegovina
Computer Department, Imamreza International University
Torbat Heydarie, Khorasan Razavi, Iran
Department of Computer Science, MGM's Dr. G. Y. Pathrikar College of Computer Science and Information Technology
Aurangabad, Maharashtra, India
Government Arts College (Autonomous), Bahrathiar University
Coimbatore, Tamilnadu, India
Venkat Lellapalli
Industrial and Systems Engineering, Mississippi State University
Louisville, Kentucky, USA
Computer Engineering Techniques Department, Alrafidain University College
Baghdad, Iraq
Sahar A. El_Rahman
Electronics, Computers Systems and Communication, Electrical Department, Faculty of Engineering-Shoubra, Benha University
Cairo, Egypt
Asha Ambhaikar
Department of Computer Science and Engineering, Rungta College of Engineering and Technology
Bhilai, Chhattisgarh, India
Introduction
Data mining had been referred to the concept which resulted in useful finding of relations, patterns, tends and potential relationships by using automatic patterns and analyzing the high volume of data and databases which have meaningful and unknown potential patterns. Data mining is sophisticated process for recognizing patterns and correct, new and potential models which are placed in high volumes of data in a way. It is understandable for the humans. Data mining has been integrated the relationships among various sciences such as statistics, mathematics, computer, pattern recognition, artificial intelligence and machine learning. Data mining algorithm is capable of anticipating, classification and clustering. This special issue focuses on new applications of data mining algorithms in engineering and economic sciences.

Aims and Scope:

1. Algorithms
2. Applications issues
3. Data mining methods
4. Knowledge discovery process
5. Economic data mining
6. Educational Data Mining
7. Political Data Mining
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