Home / Journals International Journal of Data Science and Analysis / Artificial Intelligence and Machine Learning Approaches for Data Science
Artificial Intelligence and Machine Learning Approaches for Data Science
Submission Deadline: Feb. 25, 2020

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

Join as Guest Editor Submit to Special Issue
Lead Guest Editor
Premalatha K
Department of Computer Science and Engineering, Bannari Amman Institute of Technology,Sathyamangalam, Erode, Tamil Nadu, India
Guest Editors
  • Kannimuthu Subramaniam
    Department of Information Technology,Karpagam College of Engineering
    Coimbatore, Tamil Nadu, India
  • Gunavathi Chellamuthu
    Department of Information Technology,Vellore Institute of Technology
    Vellore, Tamil Nadu, India
  • Sasikala D
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
  • Swathypriyadharsini P
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
  • Prema Ramasamy
    Department of Computer Science,New Horizon College of Engineering
    Bangalore, Karnataka, India
  • Dinesh P.S.
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
  • Viswanathan V
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
  • Hemalatha B
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
  • Arun Rangasamy
    Department of Computer Science and Engineering,Bannari Amman Institute of Technology
    Erode, Tamil Nadu, India
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 Submissions must be previously unpublished and may not be under consideration elsewhere.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.sciencepublishinggroup.com/journal/guideforauthors?journalid=367). 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.

Special Issue Flyer (PDF)

Please download to know all details of the
Special Issue

Introduction
Data science is a concept used to handle big data and includes data cleaning, preparation, and analysis. A data scientist gathers data from multiple sources and applies artificial intelligence, machine learning, predictive analytics, opinion mining and sentiment analysis to extract critical information from the collected data sets. They understand data and are able to provide accurate predictions and insights that can be used to power critical business decisions. Original research papers are solicited in any aspect of AI and machine learning applied approaches used in data science.

Aims and Scope:

  1. Artificial Intelligence tools & Applications
  2. Machine learning
  3. Neural Networks
  4. Probabilistic Reasoning
  5. Evolutionary Computing
  6. Pattern recognition
  7. Heuristic Planning Strategies and Tools
  8. Data Mining and Machine Learning Tools
  9. Reactive Distributed AI
  10. Natural Language Processing
  11. Hybrid Intelligent Systems
  12. Intelligent System Architectures
  13. Cognitive Informatics
  14. Semantic Web Techniques and Technologies
  15. Visual Analytics
  16. Image processing techniques for healthcare applications
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186