International Symposium on Computational and Business Intelligence ISCBI on April 09-11, 2027 in Chongqing, China - Conference Index

International Symposium on Computational and Business Intelligence ISCBI on April 09-11, 2027 in Chongqing, China

International Symposium on Computational and Business Intelligence (ISCBI) April 09, 2027 - Chongqing, China

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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