MLBDM 2022 - 2022 2nd International Conference on Machine Learning and Big Data Management(MLBDM 2022)-EI Compendex
Date2022-12-23 - 2022-12-25
Deadline2022-12-10
Venue, China
KeywordsMachine Learning; Big Data Management; Computer Science
Websitehttps://www.mlbdm.net
Topics/Call fo Papers
2022 2nd International Conference on Machine Learning and Big Data Management(MLBDM 2022)-EI Compendex
Location: Sanya, China
Dates: December 23rd-25th, 2022
Website: http://www.mlbdm.net/
E-mail: sub-AT-mlbdm.net
Conference Format: Online and In-person
2022 2nd International Conference on Machine Learning and Big Data Management will be held during December 23-25, 2022 in Sanya, China. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Big Data Management. MLBDM 2022 will include presentations in form of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. MLBDM 2022 is the workshop of ACAI 2022.
Considering the COVID-19 in the whole world, online attending and presentation are acceptable and will not affect paper publication, indexing.
Call For Papers:
Unsupervised Learning
Meaningful Compression
Computational Theories of Learning
Bayes Decision Theory
Big Data Visualization
Structure Discovery
Customer Segmentation
Deep learning
Weather Forecasting
Market Forecasting
Estimating Life Expectancy
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Web Search
Intrusion Detection for Gigabit Networks
Retailing, Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs)
Experiences with Big Data Project Deployments
(For more topics: http://www.mlbdm.net/topics.html )
Paper Publication and Indexing:
All accepted papers will be included in Conference Proceedings, published by ACM, indexed by EI Compendex, Scopus and other important databases.
*All accepted papers of MLBDM 2021 have been published by ACM (ISBN: 978-1-4503-8505-3) and indexed by EI Compendex and Scopus within one month after published.
Paper Submission (ONLY Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/MLBDM2022/
2. Email Submission: sub-AT-mlbdm.net
Speakers:
Prof. Schahram Dustdar, IEEE Fellow, TU Wien, Austria
Presidential Chair Prof. ZHANG, Dapeng David, IEEE Life Fellow, IAPR/AAIA Fellow, FRSC, FCAE, Chinese University of Hong Kong (Shenzhen), China
Prof. Saman Halgamuge, IEEE Fellow, AAIA Fellow, The University of Melbourne, Australia
Prof. Cheng-Zhong XU, Chair Professor, IEEE Fellow, University of Macau, Macau, China
Prof. Witod Pedrycz, IEEE Life Fellow, University of Alberta, Canada
Prof. Yong Yue (Head of Department), Fellow IET, FIMechE, FHEA, Xi'an Jiaotong-Liverpool University, China
Prof. Wei-neng Chen (Vice Dean), South China University of Technology, China
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 MLBDM 2022 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of MLBDM 2022, we cordially invite experts and scholars join us as a reviewer.
Contact us:
Mrs. Caroline Li
Email: sub-AT-mlbdm.net
Tel: +852 56144331
Website: http://www.mlbdm.net/
Location: Sanya, China
Dates: December 23rd-25th, 2022
Website: http://www.mlbdm.net/
E-mail: sub-AT-mlbdm.net
Conference Format: Online and In-person
2022 2nd International Conference on Machine Learning and Big Data Management will be held during December 23-25, 2022 in Sanya, China. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Big Data Management. MLBDM 2022 will include presentations in form of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. MLBDM 2022 is the workshop of ACAI 2022.
Considering the COVID-19 in the whole world, online attending and presentation are acceptable and will not affect paper publication, indexing.
Call For Papers:
Unsupervised Learning
Meaningful Compression
Computational Theories of Learning
Bayes Decision Theory
Big Data Visualization
Structure Discovery
Customer Segmentation
Deep learning
Weather Forecasting
Market Forecasting
Estimating Life Expectancy
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Web Search
Intrusion Detection for Gigabit Networks
Retailing, Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs)
Experiences with Big Data Project Deployments
(For more topics: http://www.mlbdm.net/topics.html )
Paper Publication and Indexing:
All accepted papers will be included in Conference Proceedings, published by ACM, indexed by EI Compendex, Scopus and other important databases.
*All accepted papers of MLBDM 2021 have been published by ACM (ISBN: 978-1-4503-8505-3) and indexed by EI Compendex and Scopus within one month after published.
Paper Submission (ONLY Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/MLBDM2022/
2. Email Submission: sub-AT-mlbdm.net
Speakers:
Prof. Schahram Dustdar, IEEE Fellow, TU Wien, Austria
Presidential Chair Prof. ZHANG, Dapeng David, IEEE Life Fellow, IAPR/AAIA Fellow, FRSC, FCAE, Chinese University of Hong Kong (Shenzhen), China
Prof. Saman Halgamuge, IEEE Fellow, AAIA Fellow, The University of Melbourne, Australia
Prof. Cheng-Zhong XU, Chair Professor, IEEE Fellow, University of Macau, Macau, China
Prof. Witod Pedrycz, IEEE Life Fellow, University of Alberta, Canada
Prof. Yong Yue (Head of Department), Fellow IET, FIMechE, FHEA, Xi'an Jiaotong-Liverpool University, China
Prof. Wei-neng Chen (Vice Dean), South China University of Technology, China
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 MLBDM 2022 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and guarantee the quality of MLBDM 2022, we cordially invite experts and scholars join us as a reviewer.
Contact us:
Mrs. Caroline Li
Email: sub-AT-mlbdm.net
Tel: +852 56144331
Website: http://www.mlbdm.net/
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Last modified: 2022-12-01 16:47:55