CALL FOR PAPERS


KES2025 Invited session on Knowledge-Based Systems for e-Business,

29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems,
Osaka, Japan
10-12 September 2025

Session Themes: IS26: Knowledge-Based Systems for e-Business

This Session invites the research papers of Knowledge-based Systems for e-Business.

Knowledge-based system for e-business means the systems, such as the expert system, the artificial intelligent system, data/text mining system and so on, applied to the business domain using network and internet.

In addition, we also would like to discuss the chance discovery.
The chance discovery consists of extracting rules from stored data and predicting the phenomena.
In fact, chance discovery will suggest new business proposal to the users, but the next problem is how to evaluate and select proper chance. 
Thus, we would like to discuss the knowledge-based system for e-business from computational, cognitive, sociological, economical and psychological viewpoints.
Of course, other viewpoints are welcome!

 Topics to be discussed (will not be restricted to):
  1. Expert System for e-Business.
  2. Artificial Intelligence system for e-Business
  3. Data/Text mining System
  4. Chance Discovery in e-Business
  5. Analysis of human behavior.


Submission:

The papers should be submitted through  EasyChair system.


Submit Paper and Review System Login Page


Please follow the KES2025 guidelines for more information on paper submission.
Submission implies the willingness of at least one of the authors to register and present the paper.


Important Dates:


Review:

All submissions will be reviewed on the basis of relevance, originality, significance, soundness and clarity.
At least three referees will review each submission independently.

 

Chair:
    Dr. Prof.Kazuhiko TSUDA
        Graduate School of Business Sciences, The University of Tsukuba, Tokyo
        tsuda.kazuhiko.gn@u.tsukuba.ac.jp     

Co-Chaired by
    Dr. Prof. Nobuo SUZUKI
       KINDAI University
        suzuki@fuk.kindai.ac.jp
    Dr. Prof.Masakazu TAKAHASHI
       Yamaguchi University
        masakazu@yamaguchi-u.ac.jp