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ISCBI 2027 : 2027 9th International Symposium on Computational and Business Intelligence (ISCBI 2027)

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Link: https://www.iscbi.com/
 
When Feb 26, 2027 - Feb 28, 2027
Where Macau, China
Submission Deadline Aug 30, 2026
Categories    computer engineering   artificial intelligence   business management   deep learning
 

Call For Papers

Full name: 2027 9th International Symposium on Computational and Business Intelligence
Abbreviation: ISCBI

2027 9th International Symposium on Computational and Business Intelligence will be held in Macau, China during February 26-28, 2027.

Conference Website: https://www.iscbi.com/


ISCBI 2026 information:
1. ISCBI 2027 co-sponsored by University of Saint Joseph, China and IICCI.
2. All the accepted papers, after registration and presentation, will be published in the ISCBI 2027 International Conferecen Proceedings, which will be submitted to be indexed by Ei Compendex and Scopus.

Conference Venue: Macau, China

ISCBI History:
ISCBI 2013 ISBN: 978-0-7695-5066-4, and has been indexed by Scopus and Ei Compendex.
ISCBI 2014 ISBN: 978-1-4799-7552-5, and has been indexed by Scopus and Ei Compendex.
ISCBI 2015 ISBN: 978-1-4673-8501-5, and has been indexed by Scopus and Ei Compendex.
ISCBI 2016 ISBN: 978-1-5090-3488-8, and has been indexed by Scopus and Ei Compendex.
ISCBI 2017 ISBN: 978-1-5386-1771-7, and has been indexed by Scopus and Ei Compendex.
ISCBI 2018 ISBN: 978-1-5386-9450-3, and has been indexed by Scopus and Ei Compendex.
ISCBI 2025 ISBN: 979-8-3315-3378-6, and has been indexed by Scopus and Ei Compendex.
ISCBI 2026 ISBN: 979-8-3315-5079-0.

All accepted papers in ISCBI 2013-2018, ISCBI 2025 have been published into IEEE Xplore® Digital Library, and been indexed by Ei Compendex and Scopus. ISCBI 2026 was successfully held in Bali, Indonesia. The conference proceedings are now available in the IEEE Xplore® Digital Library.

Submission and Contact Methods
Submission Methods:
Zmeeting System: https://www.zmeeting.org/submission/iscbi2027
E-mail: iscbi@chairmen.org
Conference Specialist: Ms. Snow Zhong

This Symposium provides opportunities for the delegates to exchange new ideas and application through face-to-face discussions, to establish business or research relations and to find global partners for future collaborations. We hope that the outcome of ISCBI 2027 will yield significant contributions to the knowledge in the emerging areas of Computational & Business Intelligence.

For more conference information, please visit the conference website: https://www.iscbi.com/

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