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Artificial Intelligence and Machine Learning Approaches for Data Science
Submission DeadlineFeb. 25, 2020

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

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
  • 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
  • Kumar Raja
    Department of Computer Science and Software Engineering, Sree Vidyanikethan Engineering College, Tirupathi, Andhra Pradesh, India
  • Kavita Khobragade
    Computer Science Department, Fegusson College (Autonomous), Pune Affiliated to Savitribai Phule Pune University, Pune, Maharashtra, India
  • Hariharan Krishnaswamy
    Enterprises Services Group, Dell Inc, San Jose, California, USA
  • Manish Kumar Gupta
    Centre for Development of Advanced Computing, Pune, Maharashtra, India
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
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=367).

Please download the template to format your manuscript.

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