International Symposium on Computational and Business Intelligence ISCBI on April 09-11, 2027 in Chongqing, China
- Short Name: ISCBI
- Event Type: Conference
- Website URL: https://www.iscbi.com/
- Program URL: https://www.iscbi.com/prog.html
- Contact URL: https://www.iscbi.com/contact.html
- Contact E-mail: [email protected]
- Location: Chongqing, China
- Date: April 09-11, 2027
- Final Submission: February 25, 2027
- Organization: ACMSC
- Conference Tags: business engineering business intelligence computational engineering computational intelligence computational finance
ISCBI 2027 information:
1. ISCBI 2027 is sponsored by Chongqing Technology and Business University, China.
2. All the accepted papers, after registration and presentation, will be published in the ISCBI 2027 International Conference Proceedings, which will be submitted to be indexed by Ei Compendex and Scopus.
ISCBI History:
ISCBI 2013 ISBN: 978-076955066-4, and has been indexed by Scopus and Ei Compendex.
ISCBI 2014 ISBN: 978-147997552-5, and has been indexed by Scopus and Ei Compendex.
ISCBI 2015 ISBN: 978-146738501-5, and has been indexed by Scopus and Ei Compendex.
ISCBI 2016 ISBN: 978-150903488-8, and has been indexed by Scopus and Ei Compendex.
ISCBI 2017 ISBN: 978-153861771-7, and has been indexed by Scopus and Ei Compendex.
ISCBI 2018 ISBN: 978-153869450-3, and has been indexed by Scopus and Ei Compendex.
ISCBI 2025 ISBN: 979-833153378-6, and has been indexed by Scopus and Ei Compendex.
All accepted papers in ISCBI 2013-2018 and ISCBI 2025 have been published into IEEE Xplore® Digital Library, and been indexed by Ei Compendex and Scopus.
Submission and Contact Methods:
Submission Methods:
Zmeeting System: https://www.zmeeting.org/submission/iscbi2027
E-mail: [email protected]
Conference Specialist: Ms. Snow Zhong
1. Business Intelligence
Analysis of business intelligence applications and analytics
Applications in business intelligence
Business intelligence and CRM
Business intelligence and market analysis and marketing
Business intelligence in logistics and supply chain management
Data mining
Autonomous agents and multi-agent systems
Case studies in business intelligence
Data mining methodologies for business intelligence
Business intelligence architectures
Knowledge management and business intelligence
Business intelligence for security analysis and fraud detection
Decision making for business intelligence
Statistical methods for business intelligence
2. Computational Intelligence
Associative memories
Computational neuroscience
Connectionist theory and cognitive science
Mathematical modeling of neural systems
Neurodynamic optimization and adaptive dynamic programming
Principal component analysis and related methods
Hybrid intelligent systems
Supervised, unsupervised and reinforcement learning
Brain computer interface
Neuroinformatics and bioinformatics
Name: ACMSC
Website: http://www.acm-sg.org/
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