Data Science
Submission Deadline: Feb. 20, 2020

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

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Lead Guest Editor
Mohaiminul Islam
School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China
Guest Editors
  • Anower Hossain
    School of Computer Science and Engineering, Chongqing University of Technology
    Chongqing, China
  • Amit Kumar
    School of Electrical Engineering and Information Technology, Chongqing University of Science and Technology
    Chongqing, China
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 Submissions must be previously unpublished and may not be under consideration elsewhere.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.

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Special Issue

Introduction
Data Science: “Data Science is about extraction, preparation, analysis, visualization, and maintenance of information. It is a cross-disciplinary field which uses scientific methods and processes to draw insights from data. ”
With the emergence of new technologies, there has been an exponential increase in data. This has created an opportunity to analyze and derive meaningful insights from data. It requires special expertise of a ‘Data Scientist’ who can use various statistical & machine learning tools to understand and analyze data. A Data Scientist, specializing in Data Science, not only analyzes the data but also uses machine learning algorithms to predict future occurrences of an event. Therefore, we can understand Data Science as a field that deals with data processing, analysis, and extraction of insights from the data using various statistical methods and computer algorithms. It is a multidisciplinary field that combines mathematics, statistics, and computer science.
Artificial Intelligence: AI is the branch of computer science that aims to answer Turing's question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines.
The expansive goal of artificial intelligence has given rise to many questions and debates. So much so, that no singular definition of the field is universally accepted.
In their groundbreaking textbook Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig approach the question by unifying their work around the theme of intelligent agents in machines. With this in mind, AI is "the study of agents that receive percepts from the environment and perform actions."
Aims and Scope:
  1. Data Science
  2. Artificial Intelligence
  3. Phonetics
  4. Image Processing
  5. Big Data
  6. Software Engineering
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