data mining & big dataManagement

Full Name: 2021 2nd International Conference on Big Data in Management (ICBDM 2021)--EI Compendex, Scopus
Abbreviation: ICBDM 2021
November 12-14, 2021 | Shanghai, China
Official website: http://www.icbdm.net

ICBDM 2021 conference Proceedings:
Accepted paper will be archived in the ACM Digital Library
indexed by: Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

All papers of ICBDM 2020 conference proceeding (ACM - ISBN: 978-1-4503-7506-1) were indexed by Ei Compendex and Scopus 3 months after the conference date.

Ei Compendex: http://www.icbdm.net/images/history/2020/ICBDM2020-Ei.png
Scopus: http://www.icbdm.net/images/history/2020/ICBDM2020-Scopus.png

Keynote Speakers:
Prof. Lili Yang, Loughborough University, UK;
Prof. Steven Furnell, University of Nottingham, UK;
Prof. Walter Brennner, University of St. Gallen, Switzerland.

Call for Paper:
Topics of interest for submission include, but are not limited to:
• Search and Mining of variety of data including scientific and engineering, sensor/IoT/IoE
• Algorithms and Systems for Big Data Search
• Distributed, and Peer-to-peer Search
• Big Data Search Architectures, Scalability and Efficiency
• Data Acquisition, Integration, Cleaning, and Best Practices
• Visualization Analytics for Big Data
• Computational Modeling and Data Integration
• Large-scale Recommendation Systems and Social Media Systems
• Cloud/Grid/Stream Data Mining- Big Velocity Data
• Link and Graph Mining
• Semantic-based Data Mining and Data Pre-processing
• Mobility and Big Data
• Multimedia and Multi-structured Data- Big Variety Data
• Social Web Search and Mining
• Web Search
• Algorithms and Systems for Big Data Search
• Distributed, and Peer-to-peer Search
• Big Data Search Architectures, Scalability and Efficiency
• Data Acquisition, Integration, Cleaning, and Best Practices
• Visualization Analytics for Big Data
• Computational Modeling and Data Integration
• Cloud/Grid/StreamData Mining- Big Velocity Data
• Link and Graph Mining
• Large-scale Recommendation Systems and Social Media Systems

Submission:
Please submit your full paper to us: icbdm@academic.net directly
Or log in: http://confsys.iconf.org/submission/icbdm-2021.
Conference proceeding template: http://www.icbdm.net/acm_template.docx

Contact us:
Ms. Jasmine Nieh
Tel: +86-18482379767
Email: icbdm@academic.net
Wechat ID: iconf-cs