International Symposium on Computational and Business Intelligence ISCBI on February 26-28, 2027 in Macau, China - Conference Index

International Symposium on Computational and Business Intelligence ISCBI on February 26-28, 2027 in Macau, China

International Symposium on Computational and Business Intelligence (ISCBI) February 26, 2027 - Macau, China

ISCBI 2027 information: 

1. ISCBI 2027 sponsored by University of Saint Joseph, 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: 978-0-7695-5066-4, 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, and has been indexed by Scopus and EI Compendex.

All accepted papers in ISCBI 2013-2018, ISCBI 2025 and ISCBI 2026 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 


2. Computational Intelligence 

2.1 Neural Networks and Neural Information Processing 

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


2.2 Fuzzy Systems 

Fuzzy information processing

Fuzzy decision making

Fuzzy logic and fuzzy set theory

Fuzzy hybrids

Fuzzy and rough data analysis

Fuzzy optimization and design

Fuzzy systems modeling and identification


2.3 Evolutionary Computation 

Ant colony optimization

Artificial immune systems

Artificial life

Bioinformatics and bioengineering

Classifier systems

Coevolution and collective behaviour

Cognitive systems and applications

Evolutionary combinatorial and numerical optimization

Constraints and uncertainty handling

Cultural algorithms

Cuckoo search

Differential evolution

Estimation of distribution algorithms

Evolutionary computation for bioinformatics

Evolutionary computation in dynamic and uncertain environments

Evolutionary computer vision



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

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