Special Issue on Data Mining and Machine Learning Applications

Submission Deadline: Jan. 10, 2020

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
    • Department of Software Engineering, The World Islamic Sciences and Education, Amman, Jordan
    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.
    • Indranath Chatterjee
      Assistant Professor, JK Lakshmipa University, Jaipur, Rajasthan, India
    • Ahmed Otoom
      Social Security Funds, Amman, Jordan
    • Alumnus with Department of Electrical Engineering, University of Bridgeport, Bridgeport, Connecticut, USA
    • Maruthi Rohit Ayyagari
      University of Dallas, Irving, Texas, USA
    • Abdallah Gharib
      University of Malaysia, Sarawak, Malaysia
    • Raed Alazaidah
      School of Computing, Northern University of Malaysia, Sintok, Kedah, Malaysia
    • Mohd Saifuzzaman
      Daffodil International University, Dhaka, Bangladesh
  • Introduction

    With the existence of gigantic data daily, the business strives to extract interesting patterns and take proactive decisions. The application of data mining and machine learning can gain success in the field of business as well as in the technical fields. In the last years, the applications over customers and their behaviors have increased dramatically as a way of driving forces to enhance business process and marketing strategies. Therefore, such applications provide business with intelligent capabilities for interpretation and decision-making processes for gaining profit of the business organization. Moreover, data mining and machine learning community have been applied in technical fields. It has been applied in software engineering in requirements engineering, program comprehension, maintenance, and software components analysis. Data mining and machine learning applications have also proven a useful tool in cybersecurity solutions for detecting vulnerabilities and proactively preventing attacks.
    The goal of this special issue is to cover a variety of topics and issues related to data mining applications. The special issue also welcomes manuscripts in theories and algorithms of data mining. Each manuscript will be reviewed by academics and practitioners who have worked in similar problem areas. The targeted readerships are technical and academic, as well as professionals in the domain.

    Aims and Scope:

    1. Topics include but are not limited to:
    2. Applications of Data mining and Machine Learning
    3. Data Mining Process
    4. Data Transformations
    5. Data Analysis and Interpretations
    6. Pattern Recognition and Association Analysis
    7. Data Warehousing
    8. Image Processing
    9. Information Retrieval
    10. Risk Management Applications
    11. Artificial Intelligence Applications
    12. Software Engineering Applications
    13. Cybersecurity Applications
    14. Deep Learning
    15. Empirical Case studies

  • 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.ajdmkd.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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