KES2021 Invited session on Knowledge-Based Systems for e-Business,

25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems,
Szczecin, Poland
8-10 September 2021

Session Themes: IS04: 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.


The papers should be submitted through PROSE Online Paper Submission system.


Please follow the KES2021 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:

  1. 28 April, 2021 Submission deadline of papers
  2. 2 May, 2021: Notification of acceptance of papers.
  3. 30 May, 2021: Deadline for camera-ready papers
  4. By 1 June 2021: All presenting authors in the Invited Session must register with payment for their papers to appear in the proceedings.
  5. 16-18 September, 2021: Session


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


    Dr. Prof.Kazuhiko TSUDA

        Graduate School of Business Sciences, The University of Tsukuba, Tokyo

        3-29-1 Otsuka, Bunkyo-ku, Tokyo 112-0012, Japan


Co-Chaired by

    Dr. Prof.Masakazu TAKAHASHI

        Yamaguchi University


Prof. Nobuo SUZUKI
        KINDAI University

    Dr. Prof. Takumi KATO
        Saitama University, Japan