Home / Journals / Mathematics & Statistics | Electrical & Computer Science / American Journal of Data Mining and Knowledge Discovery
Vol. 2, Issue 3, September 2017
Frequency: Quarterly
American Journal of Data Mining and Knowledge Discovery (AJDMKD) is an open access, peer reviewed international journal. This journal focuses on the fields including statistics databases pattern recognition and learning data visualization uncertainty modelling data warehousing and OLAP optimization and high performance computing. The journal prefers the submitted manuscript, which meets the internationally accepted criteria and the style of the journal for the purpose of both reviewing and editing. The topics related to this journal include but are not limited to:
Data Cleaning
Noise Modelling
Olap Optimization
High Performance Computing
Statistics
Computer Science
Engineering
General Sciences
Informatics
General Mathematics
Data Analysis
Machine Learning Techniques
Data Visualization
Data Warehousing
Multimedia Data
Uncertainty Management
Metrics of Interestingness
Editorial Board
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Adewale Ogunde Department of Computer Science, Redeemer's University
Ede, Osun, Nigeria
Harshavardhan Achrekar Department of Computer Science, University of Massachusetts Lowell
New Jersey, USA
Peer Reviewers
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Farzaneh Kimiaei
Department of computer engineering, Azad university
Mashhad, Khorasan Razavi, Iran
Xiao Zhang
Electrical Engineering and Computer Science(EECS), Syracuse University
Syracuse, New York, USA
Peter Idowu
Department of Computer Science & Engineering, Obafemi Awolowo University
Ile-Ife, Osun, Nigeria
Weimo Liu
GraphSQL, Inc.
Redwood City, California, USA
Related SciencePG Frontiers
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