Special Issue on Data Mining Applications

Submission Deadline: Oct. 30, 2015

Please click the link to know more about Manuscript Preparation: http://www.ajsea.org/submission

  • Lead Guest Editor
  • Guest Editor
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    • 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

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajsea.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.