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    SDMPR 2023 - 2023 Asia Conference on Statistics, Data Mining and Pattern Recognition (SDMPR 2023)

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    Website http://www.sdmpr.net/ | Want to Edit it Edit Freely

    Category Statistics; Data Mining; Pattern Recognition

    Deadline: September 30, 2023 | Date: October 27, 2023-October 29, 2023

    Venue/Country: Sanya, China

    Updated: 2023-06-08 17:43:53 (GMT+9)

    Call For Papers - CFP

    2023 Asia Conference on Statistics, Data Mining and Pattern Recognition (SDMPR 2023)

    Website: http://www.sdmpr.net/

    Venue: Sanya, China (both online and in-person)

    Conference Date: Oct. 27-29, 2023

    2023 Asia Conference on Statistics, Data Mining and Pattern Recognition (SDMPR 2023) will be held in Sanya, China during Oct. 27-29, 2023. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.).

    During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Statistics, Data Mining and Pattern Recognition. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

    We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

    *Conference Speakers:

    Keynote Speaker I:

    Chair Prof. Qing Li, The Hong Kong Polytechnic University, Hong Kong (IEEE Fellow)

    Keynote Speaker II:

    Prof. Yonghui Li, The University of Sydney, Australia (IEEE Fellow / ARC Future Fellow)

    Keynote Speaker III:

    Prof. Ian McAndrew, Capitol Technology University, USA

    Keynote Speaker IV:

    Prof. Seifedine Kadry, Noroff University College, Norway (IEEE Senior Member / Distinguish Speaker of IEEE Computer Society)

    *Call for papers:

    Actuarial science

    Astrostatistics

    Biostatistics

    Business statistics

    Chemometrics

    Data science

    Energy statistics

    Engineering statist

    Data mining foundations

    Grand challenges of data mining

    Parallel and distributed data mining algorithms

    Mining on data streams

    Graph and subgraph mining

    Spatial data mining

    Text, video, multimedia data mining

    Web mining

    Statistical, syntactic and structural pattern recognition

    Machine learning and data mining

    Automatic speech recognition

    Medical image processing and recognition

    Artificial neural networks

    Dimensionality reduction and manifold learning

    Classification and clustering

    (for more topics: http://www.sdmpr.net/Call%20for%20Papers.html)

    *Publication and indexing:

    ★All accepted papers will be included in the conference proceedings and published by Conference Publishing Services (CPS), which will be submitted for inclusion in IEEE Xplore and CSDL. The conference proceedings will also be submitted for indexing by EI Compendex, Scopus, INSPEC and ISTP (CPCI).

    *Submission Methods:

    1. Online Submission System: https://cmt3.research.microsoft.com/SDMPR2023

    2. Submission Email: sdmpratapplied-computing.net

    Submission guidelines: http://www.sdmpr.net/Submission%20Guidelines.html

    *Join the conference as:

    Authors:

    Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.

    Presenters Only:

    The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.

    Listeners:


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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