ACM-2021 International Conference on Knowledge Discovery and Machine Learning (KDML 2021)

Sanya, China

December 22nd-24th, 2021

http://www.kdml2021.net/

2021 International Conference on Knowledge Discovery and Machine Learning (KDML 2021) will be held in Sanya, China during December 22-24, 2021. KDML 2021 will bring together an international community of experts to discuss the state-of-the-art for new research results, perspectives of future developments, and innovative applications relevant to Knowledge Discovery and Machine Learning.

Topics:

Knowledge Representation and Modeling

Knowledge Maintenance; Knowledge Elicitation

Knowledge-Based Systems

Expert Systems or Decision Support Systems

Content Management and Knowledge Management Systems

Workflow Management Systems

Business Process Reengineering

Ontology Engineering (Modeling, Mapping, Integration)

Data Mining and Knowledge Discovery

Natural Language Processing

(For more topics: http://www.kdml2021.net/Topics.html)

Paper Publication:

All accepted papers after proper registration will be included in Conference Proceedings, published by ACM (ISBN: 978-1-4503-8505-3), archived in ACM Digital Library, and will be indexed by Ei Compendex and Scopus.

KDML 2021 Speakers:

Prof. Yi-Bing Lin, AAS Fellow, ACM Fellow, IEEE Fellow, and IET Fellow

Winbond Chair Professor, National Yang Ming Chiao Tung University

Prof. Xiaodong Liu, Head of Intelligence-Driven Software Engineering Research Group

Edinburgh Napier University, UK

Prof. Jixin Ma, Director of the Centre for Computer and Computational Science

University of Greenwich, U.K

Assoc. Prof. Feng-Jen Yang

Florida Polytechnic University, USA

Assoc. Prof. Kin-Choong Yow

University of Regina, Canada

Paper Submission (Choose one way to submit your paper):

1. Submission System: https://cmt3.research.microsoft.com/KDML2021/

2. Email Submission: kdml2021@163.com

You are also welcome to join us as :

As Presenter: If you want to share you latest research results by giving presentation without publish papers, please submit your abstract (300-400 words)

As Listener: You are also warmly welcomed to take part in KDML 2021 as a listener even though you have no paper to submit.

As Reviewer: To ensure the fairness and guarantee the quality of KDML 2021, we cordially invite experts and scholars join us as a reviewer.

Contact us:

Conference Secretary: Ms. Caroline Li

Email: kdml2021@163.com

Tel: +852 56144331

Website: http://www.kdml2021.net/

2021 International Conference on Knowledge Discovery and Machine Learning

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