ICBDM 2021 - 2nd International Conference on Big Data in Management (ICBDM 2021)

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