International Workshop: AI-Biz2018
November 12-14, 2018Raiosha Building, Hiyoshi Campus, Keio University
4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8521, Japan
http://www.keio.ac.jp/en/maps/hiyoshi.html
Aims and Scope
The objective of this workshop is to foster the concepts and techniques of“Business Intelligence (BI).” in Artificial Intelligence. BI should include such cutting-edge techniques as data science, agent-based modelling, complex adaptive systems, and IoT. The application areas include but not limited to business management, finance engineering, service sciences, manufacturing engineering, and so on.The basic idea of BI would enhance the capabilities of conventional techniques in business domain, however, so far, we have not discussed BI concepts deeply in artificial intelligence literature. We would like to focus on BI topics to the issues of firms and organizations for getting more benefits on interactions with human- and computer- mixed systems.
The main purpose of this workshop is to provide a forum to discuss important research questions and practical challenges in Business Intelligence, Business Informatics, Data Analysis and Agent-based Modelling to exchange latest results, to join efforts in solving the common challenges. It is also to establish an effective communication between researchers and developers involved in the both areas. The workshop will provide opportunities for the participants to exchange new ideas and experiences to establish research or business network and to find global partners for future collaboration.
Program
November 13, 2018, 9:20 - 16:40Meeting room (small)
Hiyoshi Campus of Keio University, Yokohama, Kanagawa.
https://www.keio.ac.jp/en/maps/
9:20 - 9:30
Opening session
Prof. Takao Terano (Chiba University of Commerce, National Institute of Advanced Industrial Science and Technology (AIST))
Session 1. Chair: Setsuya Kurahashi (University of Tsukuba)
9:30 - 9:55 (L)
Indicating human capital including non-economic value
Ryuichi Okumura and Hiroshi Deguchi
Tokyo Institute of Technology
Constructing industry classifications through fuzzy clustering
Yusuke Matsumoto, Aiko Suge and Hiroshi Takahashi
Keio University
Towards Capturing Mercurial Customers based on the Transactional Data
Masakazu Takahashi and Yuji Tanaka
Yamaguchi University
10:40 -11:00 Coffee Break
Invited Talk. Chair: Prof. Takao Terano (Chiba University of Commerce, AIST)
11:00 - 12:00
Two-Storied ELSI Guidelines: Inclusive Coverage to Individual Solutions
Ryoju Hamada
Thammasat University, Thailand
Introduction and abstract of the invited talk
12:00 -13:30 Lunch
Session 2. Chair: Hiroshi Takahashi (Keio University)
13:30 - 13:55 (L)
A Study of Variable Selection within A Framework of Real-coded Genetic Algorithm
Takahiro Obata and Setsuya Kurahashi
University of Tsukuba
Influences of Faultlines on Organizational Performance
Fumiko Kumada and Setsuya Kurahashi
University of Tsukuba
A Novel Smart Crowd Management System to Reduce Traffic Congestion in Sri Lanka
Chathura Rajapakse* and Masakazu Takahashi**
*University of Kelaniya, **Yamaguchi University
A new Technique validating for the visualization of R&D project status in proceeding R&D project: Collaboration with text mining and Physics model
Hideki Hayashida*, Masakazu Takahashi** and Hiroki Funashima***
*Tokyo University of Agriculture and Technology, **Yamaguchi University, ***Kobe University
15:00 -15:30 Coffee Break
Session 3. Chair: Masakazu Takahashi (Yamaguchi University)
15:30 - 15:55 (L)
Prediction of Credit Risk for P2P Lending Using Lo-gistic Regression
Shin-Fu Chen*, Goutam Charkraborty* and Li-Hua Li**
*Iwate Prefecture University, **Chaoyang University of Technology
Analyzing three agent relations of Government, Companies, Consumers under environmental policy for Eco-cars
Fumio Oono*, Hiroshi Takahashi**, Takao Terano*** and Hiroshi Deguchi*
*Tokyo Institute of Technology, **Keio University, ***Chiba University of Commerce
Building a Financial Polarity Dictionary for News Analytics Using Stock Prices Information on Chinese Stock Markets
Xueyin Qu, Aiko Suge and Hiroshi Takahashi
Keio University
Closing
AI-Biz2018 Invited Talk
Dr. Ryoju Hamada
Two-Storied ELSI Guidelines: Inclusive Coverage to Individual Solutions
Recent days, Society is strict against AI-oriented ELSI problem (Ethics, Law, and Society Implementation). There are guidelines authorized by academic society. However, it is often tricky and abstractive to let researchers make the practical action. The reason is guidelines try to cover anything came from AI research. In our study, we focus on AI-based Consensus Building Support System called COLLAGREE. We formed the ELSI Committee to solve eight specified ELSI problems and started its operation since 2017. Our trial is impossible to cover all AI research which has a potential impact to the society, but if individual researchers do like us; bottom-up guideline sets will be created, that might solve the ELSI problems including unknown problems. Researcher’s more attention is required.
Dr. Ryoju Hamada
Associate Professor, SIIT, Thammasat University
President, International Simulation and Gaming Association (ISAGA)
Co-Chairperson, 49th annual conference of (ISAGA2018)
Director, Association of Business and Experiential Learning (ABSEL)
Director, Academic Chair, Japan Association of Simulation & Gaming (JASAG)
Important Dates
Submission Deadline: August 31, 2018.(extended!)Notification: September 20, 2018
Camera-ready due: October 14, 2018
Deadline for Early registration : October 31, 2018
Workshop: One day in November 12-14, 2018
Submissions
Papers must be prepared according to the Springer LNCS/LNAI format. The page limit is 14 pages, including figures and bibliography. This conference uses a double-blind review.Selected papers will be published as post-proceedings via Springer Verlag LNAI after the second round of a double-blind review after the workshop.
Please ensure that your paper fully complies with the LNAI format.
Guidelines for the LNAI format
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
LNCS/LNAI style files
ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip
Submission and review of papers for AI-Biz2018 is managed via EasyChair:
www.easychair.org/conferences/?conf=aibiz2018