Special Issue on Computer Science and Data Mining

Submission Deadline: Oct. 25, 2019

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)

  • Special Issue Editor
    • Weiya Fan
      Chongqing Normal University, Chongqing, China
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Tingting Li
      Chongqing Normal University, Chongqing, China
    • Yanlu Gong
      Chongqing Normal University, Chongqing, China
    • Li Zhu
      Chongqing Normal University, Chongqing, China
    • Maoyuan Ma
      Chongqing Normal University, Chongqing, China
    • Shanwen Yang
      Chongqing Normal University, Chongqing, China
    • Department of Computer Science & Engineering, Lord Buddha Education Foundation, Kathmandu, Nepal
  • Introduction

    The Special Issue are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The Special Issue will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.
    The techniques of CSDM are now being applied in many areas of business and government, such as banking and finance, market research, risk analysis, and counterterrorism. In the sciences, CSDM has become pervasive in such fields as bioinformatics, medical diagnosis, epidemiology, drug discovery, environmental modeling, and meteorological data analysis.

    Aims and Scope:

    1. Computer Science
    2. Machine Learning
    3. Data Mining
    4. Artificial Intelligence
    5. Information Systems
    6. Multidisciplinary

  • 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.acisjournal.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.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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