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    DMKD 2023 - 2023 6th International Conference on Data Mining and Knowledge Discovery(DMKD 2023)

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    Website https://www.icdmkd.org/ | Want to Edit it Edit Freely

    Category Data Mining; Knowledge Discovery

    Deadline: May 10, 2023 | Date: June 24, 2023-June 26, 2023

    Venue/Country: Chongqing, China

    Updated: 2023-03-03 13:02:23 (GMT+9)

    Call For Papers - CFP

    ●2023 6th International Conference on Data Mining and Knowledge Discovery(DMKD 2023)-- Ei Compendex & Scopus—Call for papers

    June 24-26, 2023 |Chongqing China|Website: www.icdmkd.org

    ●DMKD 2023 provides researchers and industry experts with one of the best platforms to meet and discuss groundbreaking research and innovations in the field of Data Mining and Knowledge Discovery.

    International invited speakers are invited to present their state-of-the-art work on various aspects, which will highlight important and developing areas.

    ●Publication and Indexing

    All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by all major citation databases such as Ei Compendex (Engineering Village), CPCI, Chemical Abstracts Service (CAS), Conference Proceedings Citation Index (Web of Science), DOAJ, EBSCO (EBSCO Discovery Service), Google Scholar, Inspec, Polymer Library, Scopus, Materials Science & Engineering Database (ProQuest), SciTech Premium Collection (ProQuest), Technology Collection (ProQuest), etc.

    A selection of papers will be recommended to be published in international journals.

    ★Keynote Speakers

    Professor Yu-wang Chen——University of Manchester, UK

    【Speech Title】: Data, Knowledge and Decision Analytics

    【Abstract】: Decision analytics allow individuals and organizations to transform data and aggregate knowledge to support informed decision making. However, real-world decision making problems are often characterized by multiple sources of data and different types of complex information. In this talk, I will briefly introduce my research on decision analytics in the context of data and uncertain knowledge, and illustrative examples will be used from the fields of both engineering and management.

    Professor Philippe Fournier-Viger——Shenzhen University, China

    【Speech Title】: Advances and challenges for the automatic discovery of interesting patterns in data

    【Abstract】: Intelligent systems and tools can play an important role in various domains such as for factory automation, e-business, and manufacturing. To build intelligent systems and tools, high-quality data is generally required. Moreover, these systems need to process complex data and can yield large amounts of data such usage logs, images, videos, and data collected from industrial sensors. Managing the data to gain insights and improve these systems is thus a key challenge. It is also desirable to be able to extract information or models from data that are easily understandable by humans. Based on these objectives, this talk will discuss the use of data mining algorithms for discovering interesting and useful patterns in data generated from intelligent systems and other applications.

    ●Program Preview/ Program at a glance

    June 24, 2023: Registration + Icebreaker Reception

    June 25, 2023: Opening Ceremony+ KN Speech+ Technical Sessions

    June 26, 2023: Technical Sessions+ Half day tour/Lab tours

    ●Paper Submission

    1. Submit Via CMT: https://cmt3.research.microsoft.com/DMKD2023

    2. Submit Via email directly to: inquiryaticdmkd.org

    ●CONTACT US

    Ms. Rita J. Ma

    Email:inquiryaticdmkd.org

    Website: www.icdmkd.org


    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.