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: sdmpr@applied-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:
Listeners are expected to attend the conference without paper presentation or publication.
Reviewers:
PhD-holders in the research fields of Statistics, Data Mining and Pattern Recognition are welcome to be our reviewers and a certificate can be issued.
Sponsors/Partners:
If you are interested in cooperating with us, such as sponsoring or being a partner of SDMPR 2023, you are welcome to contact us at: sdmpr@applied-computing.net

*Contact us:
Website: http://www.sdmpr.net/
Conference Secretary: Ms. Grace Lee
Tel: (+852) 6359 2147
Email: sdmpr@applied-computing.net

If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.