Machine Learning and Applications: An International Journal

MLAIJ 2017


Data Mining & Analysis Artificial Intelligence Probability & Statistics with Applications





Machine Learning and Applications: An International Journal (MLAIJ)
Scope & Topics
Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of machine learning.
Topics of interest include but are not limited to, the following
Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Paper Submission
Authors are invited to submit papers for this journal through E-mail
mlaijjournal@airccse.org
. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Important Dates
Submission Deadline
:
March 11, 2017
Authors Notification
:
April 11, 2017
Final Manuscript Due
:
April 19, 2017
Related Journal
International Journal of Artificial Intelligence & Applications (IJAIA)
Editor In Chief
Natarajan Meghanathan
, Jackson State University, USA
Editorial Board Members
A K Verma
, Thapar University, India
Abdulkadir Ozcan,
Karatay University, Turkey
Arman Sargolzaei,
Florida International University, USA
Arvind Kumar,
Amity university Noida, India
Ashutosh Kumar Dubey,
Trinity Institute of Technology & Research, India
...for more