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3rd International Conference on Big Data in Management (ICBDM 2022)

3rd International Conference on Big Data in Management (ICBDM 2022)

3rd International Conference on Big Data in Management (ICBDM 2022)

About this event

ICBDM 2022 conference Proceedings
Accepted papers will be included into ICBDM2022 Conference Proceedings, which will be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

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

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-2022
Conference proceeding template: http://www.icbdm.net/acm_template.docx

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

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