2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 20

2022/10/28-2022/10/30

SHANGHAI

2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2022)

 Important Information

Websitewww.mlbdbi.org

Date:October 28-30, 2022

Final Paper Submission Date:  October 26

Registration Deadline:  October 28

Submitted to these indexersEI, Scopus

 

About ICCPA2022

2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2022)  will be held on  October 28-30, 2022, 2022. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry.

The conference will be held every year to make it an ideal platform for people to share views and experiences in Machine Learning, Big Data and Business Intelligence and related areas. It will bring you an unexpected harvest. We welcome you to be a member of MLBDBI 2022.

 

Host 

  

Shanghai Pudong New Area Association For Computer

 

Call for Papers

Topics of interest for submission include, but are not limited to:

1.Machine Learning:

Deep and Reinforcement learning

Pattern recognition and classification for networks

Machine learning for network slicing optimization

Machine learning for 5G system

Machine learning for user behavior prediction

New innovative machine learning methods

Optimization of machine learning methods,etc

 

2.Big Data

Big Data Analytics

Data Science Models and Approaches

Algorithms for Big Data

Big Data Search and Information Retrieval Techniques

Big Data Acquisition, Integration, Cleaning, and Best Practices

Big Data and Deep Learning

Scalable Computing Models, Theories, and Algorithms,etc

 

3.Business Intelligence

Intelligent Computing Methodologies and Applications

Evolutionary Computing and Learning 

Swarm Intelligence and Optimization 

Signal Processing and Pattern Recognition 

Image Processing and Information Security 

Virtual Reality and Human-Computer Interaction 

Business Intelligence and Multimedia Technology 

Healthcare Informatics Theory and Methods 

 

Manuscripts reviewed by experts from the conference organizing committee will be accepted and published on Conference Proceedings. The published papers will then be submitted to EI Compendex, Scopus .

 

Registration Fee 

Items

Registration Fee

Regular Registration for Paper

(4pages)

500 USD/ paper (4-6pages)

3200 CNY/ paper (4-6pages)

Registration for Group Submission

≥ 3manuscripts

450 USD/ paper (4-6pages)

2900 CNY/ paper (4-6pages)

Extra Pages (Begin at Page 7)

50 USD/ extra page

300 CNY/ extra pag

Attendees without a Submission

180 USD/ person

1200 CNY/ person

Attendees without a Submission 

(Groups

150 USD/ person≥ 3 person

1000 CNY/ person≥ 3 person

Purchase Extra Proceedings/Journalcopies

75 USD/book

500 CNY/book

 

Details of the Registration Fees

1.Regular Registration: Submit a full paper to publish and present at the conference.

2.Additional paper: Extra papers submitted by the same first author, excluding the first paper.

3.Extra Page: If the paper exceeds 6 pages, extra pages(begin at page 7) should be paid at 50USD(300RMB)/page.

4.Listeners: Only attend the conference, without publication.

 REGISTRATION:https://www.ais.cn/attendees/toSignUp/JAURAE

 

Author's guide

The 2022 2nd International Conference on Green Communication, Network and Internet of Things (CNIoT 2022) will be held on September 02-04, 2022 in Changsha, China. The following information about the schedule is for your reference.

 

Program

October 28

13:00-17:00

Registration

October 29

09:00-12:00

Keynote Speeches

12:00-14:00

Lunch

14:00-17:30

Oral Presentations

18:00-19:30

Banquet

October 30

09:00-18:00

Academic tour

 

 

Contact us

  

    Wechat               

 

Conference Secretary: Judy Zhai,

E-mail:contact@gcniot.net.

Tel:  +86-17512806705 (WeChat)

QQ: 1586117126