International journal of machine learning and computing

International Journal of Machine Learning and Computing - IJMLC is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing.

The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers.

All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

IJMLC is an open access journal which focus on publishing original and peer reviewed research papers on all aspects of machine learning and computing. And the topics include but not limited to:

• Adaptive systems
• Business intelligence
• Biometrics
• Bioinformatics
• Data and web mining
• Intelligent agent
• Financial engineering
• Inductive learning
• Geo-informatics
• Pattern Recognition
• Logistics
• Intelligent control
• Media computing  
• Neural net and support vector machine
• Hybrid and nonlinear system
• Fuzzy set theory, fuzzy control and system
• Knowledge management
• Information retrieval
• Intelligent and knowledge based system
• Rough and fuzzy rough set
• Networking and information security
• Evolutionary computation
• Ensemble method
• Information fusion
• Visual information processing
• Computational life science

 

Abstract & indexing

• Scopus (since 2017),
• EI (INSPEC, IET),
• Google Scholar,
• Crossref,
• ProQuest,
• Electronic Journals Library.

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