International Symposium on Computational and Business Intelligence on February 14-16, 2025 in Macao, Macao

International Symposium on Computational and Business Intelligence on February 14-16, 2025 in Macao, Macao

ISCBI 2025 information:

1. ISCBI 2025 is sponsered by University of Macau, China

2. All the accepted papers, after registration and presentation, will be published in the IEEE Xplore® Digital Library, which will be indexed by Ei Compendex and Scopus.

3. Prof. Krzysztof Cios from Virginia Commonwealth University in US (IEEE Fellow),

Prof. Thomas Hanne from University of Applied Sciences and Arts Northwestern Switzerland in Switzerland, Prof. Jerome Yen from University of Macau in China and Prof. Alexandre Lobo from University of Saint Joseph in China will be the keynote speakers.

 

Conference Venue: University of Macau, China

 

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 2013-2018 have been held successfully in New Delhi, India, Bali, Indonesia, Olten, Switzerland, Dubai, UAE and Basel, Switzerland. The accepted papers in ISCBI conference, have been published into IEEE Xplore, and all of them were indexed by Ei Compendex and Scopus.

 

Submission and Contact Methods:

Submission Methods:

Zmeeting System: https://www.zmeeting.org/submission/iscbi2025

E-mail: [email protected]

Conference Specialist: Ms. Ace Wong

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  

Name: ACMSC
Website: http://www.acm-sg.org/

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