International Conference on Machine Learning Techniques and Data Science (MLDS 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science.

Topics of interest

Machine Learning
  • Deep Learning
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems
  • Machine Learning Applications
  • Machine Learning models and applications
  • Machine Learning Recommender systems
  • Machine Translation
  • Neural Networks / Deep Learning

  • Data Science
  • Big Data
  • Business Data
  • Data Analytics
  • Data Management
  • Data Mining
  • Data Science and Machine Learning
  • Databases
  • Forecasting
  • Hybrid Machine Learning Systems for Data Science
  • Natural Language Processing
  • Social Network Analysis
  • Time Series Analysis
  • Paper Submission

    Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

    Selected papers from MLDS 2020, after further revisions, will be published in the special issue of the following journals

  • Machine Learning and Applications: An International Journal (MLAIJ)
  • International Journal of Artificial Intelligence & Applications (IJAIA)
  • International Journal of Data Mining & Knowledge Management Process (IJDKP)
  • International Journal of Database Management Systems (IJDMS)
  • Important Dates

    Second Batch : (Submissions after October 24, 2020)

    calendar_todaySubmission Deadline : CLOSED

    calendar_todayAuthors Notification : December 12, 2020

    calendar_todayRegistration & Camera-Ready Paper Due : December 15, 2020


    Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.


    Björn Friedrich
    Carl von Ossietzky University of Oldenburg, Germany

    Qu Hongyan
    Xi’an University of Posts and Telecommunications, China

    Shi Linkai
    Xi’an University of Posts and Telecommunications, China

    Morio Yamauchi
    Kyushu Institute of Technology, Japan

    Zurina Mohd Hanapi
    Universiti Putra Malayisa, Malaysia

    Maharazu Mamman
    Federal College of Education, Nigeria

    Ruben Ventura
    Independent Security Researcher, Mexico

    Karlo Koscevic
    University of Zagreb,

    Mikaël A. Mousse
    Université de Parakou,

    Mahabaleshwar Kabbur
    REVA University,

    Xiang-Song Zhang
    Xi’an Shiyou University,

    Seyed Mohssen Ghafari
    Faethm AI Company,

    Iván Humberto Fuentes Chab
    Instituto Tecnológico Superior de Escárcega, Mexico

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