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    2019 International Conference on Data Mining and Machine Learning (ICDMML 2019)

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    Website http://www.icdmml.org/index.html | Want to Edit it Edit Freely

    Category Artificial Intelligence;Data Mining;Machine Learning

    Deadline: March 29, 2019 | Date: April 29, 2019-April 30, 2019

    Venue/Country: Hong Kong, China

    Updated: 2018-08-31 16:45:33 (GMT+9)

    Call For Papers - CFP

    2019 International Conference on Data Mining and Machine Learning (ICDMML 2019) is organized by the Institute of Data Science and Artificial Intelligence (IDSAI) and International Engineering and Technology Institute (IETI), 2 non-profit international associations for the engineers, researchers and scientists. The symposium will focus on the frontier topics in the theoretical and applied Data Science, Cloud Computing, Mobile Web, IOT, CS and AI subjects.

    The ICDMML conference serves as good platform for our members and the entire business, engineering and technology community to meet with each other and to exchange ideas. Our recent IETI/IDSAI/IRIEM conferences have attracted more than 1000 participants from over 50 countries/regions, and our conference committees have been formed with over 500 members who are mainly research center heads, faculty deans, department heads, professors, and research scientists from over 50 countries/regions.

    All submissions to the ICDMML will be sent to at least 2 reviewers and evaluated based on originality, technical and research content, relevance to conference, contributions, and readability. The full paper submissions will be chosen based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program. The accepted papers will be published by Proceedings.Papers will submit the proceedings to Ei Compendex, Scopus for indexing.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.