Special Issue on Data Mining Research

Submission Deadline: Jan. 10, 2020

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

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Huda Jamal
      Department of Computer Science, College of Computer Science and Information Technology,Sudan University of Science and Technology, Khartoum, Sudan
  • Guest Editor
    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 complete the Guest Editor application.
  • Introduction

    This issue focuses on new research work in the area of Machine Learning. Machine Learning was motivating to learn because we could see how all the math, we had studies at university is applied in real life, and it's not only interesting, but also very useful.
    Also, just the thought that given the data we can extract something useful from it is already very motivating. For example, if you measure, we weight every day, then, when we accumulate enough data, we can extract some helpful stuff about it that overwise we won't be able to learn. Another motivation could be money. Data science is quite a hot topic nowadays and data scientists are paid quite well - companies have tons and tons of data and they need people who know how to mine something useful from this data. And there are more and more "data driven" companies that need people who can mine insight from the raw floods of information.
    From the above perspective, papers submitted in this area should have a strong application perspective rather than purely theoretical goal.
    Specific subfields covered by this section include AI algorithms and methods, deep learning, natural language processing, big data text analytics, information extraction, Data Mining, Classification, Clustering, Association rules, Text Mining, Opinion Mining and so on.

    Aims and Scope:

    1. Machine Learning
    2. Data Mining
    3. Text mining
    4. Opinion Mining
    5. Sentiment Analysis
    6. Text Classification

  • 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 Submissions must be previously unpublished and may not be under consideration elsewhere.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.mlrjournal.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.