日本の女性研究者

Social / Safety System Science

Researcher List >> Ishino, Yoko
 

Ishino, Yoko

 
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NameIshino, Yoko
AffiliationYamaguchi University

Research Interests

 
Bioinformatics , Artificial Intelligence , Marketing , Management of Technology

Research Areas

 
  • Management / Management / 
  • Social/Safety system science / Social systems engineering/Safety system / 
  • Informatics / Intelligent informatics / 
  • Informatics / Life/Health/Medical informatics / 

Awards & Honors

 
Aug 2014
Best Paper Award, IICIES 2014 (6th Indonesia International Conference on Innovation, Entrepreneurship, and Small Business)
 
Nov 2009
Outstanding Poster Award, BioInfo2009, CBI (the Chem-Bio Informatics Society) and KSBSB (the Korean Society for Bioinformatics) Joint Conference
 
Jul 2001
A Best Paper Award, 5th World Multiconference on Systemics, Cybernetics and Informatics (SCI2001)
 

Published Papers

 
Disparities in Open Data Efforts among Japanese Local Governments
Hideto Nakamura, Yoko Ishino
Journal on Innovation and Sustainability   in print   2020   [Refereed]
Variable Selection Problem for Finding Appropriate Regional Revitalization Indices
Yoko Ishino, Hideto Nakamura
The 10th Oukan Conferences (Transdisciplinary Federation of Science and Technology)      Nov 2019   [Refereed]
Study on Popularization of QR Code Settlement in Japan
Tietie Chen, Yoko Ishino
Proc. of Agents and Multi-agent Systems: Technologies and Applications 2019 (13th KES International Conference, KES-AMSTA-2019)   297-307   Jun 2019   [Refereed]
Elderly Consumers’ Behavior in Business-to-Consumer E-Commerce in Japan
Yoko Ishino, Hideyuki Aoki, Ken Kaminishi
Proc. of 28th International Conference for Management of Technology (IAMOT 2019)   756-763   Apr 2019   [Refereed]
Open data initiatives in local governments : Study on statistical data disclosure
Hideto Nakamura, Yoko Ishino
Journal of Socio-informatics   8(2) in print   2019   [Refereed]

Books etc

 
Managing Technology for Inclusive and Sustainable Growth
Ishino, Y., Aoki, H., Kaminishi, K. [Jain, K., Sangle, S., Gupta, R., et al. (eds.)] (Part:Contributor, Elderly Consumers’ Behavior in Business-to-Consumer E-Commerce in Japan)
Excel India Publishers   2019   ISBN:978-93-88237-54-3
Agents and Multi-agent Systems: Technologies and Applications 2019
Chen, T., Ishino, Y. [Jezic, G., Chen-Burger, Y.-H.J., Kusek, M. et al. (eds.)] (Part:Contributor, Study on Popularization of QR Code Settlement in Japan)
Springer, Singapore   2019   ISBN:978-981-13-8678-7
New Frontiers in Artificial Intelligence
R. Suzuki, Y. Ishino, S. Takahashi [S. Arai, K. Kojima, K. Mineshima, D. Bekki, K, Satoh, Y. Ohta (eds.)] (Part:Contributor, Characterization of Consumers’ Behavior in Medical Insurance Market with Agent Parameters’ Estimation Process Using Bayesian Network)
Springer   Jun 2018   ISBN:978-3-319-93793-9
Agents and Multi-Agent Systems: Technologies and Applications 2018
Ishino, Y. (Part:Contributor, Japanese Health Food Market Trend Analysis)
Springer International Publishing   2018   ISBN:978-3-319-92030-6
Innovative Approaches in Agent-Based Modelling and Business Intelligence
Ishino, Y. [Kurahashi, S., Takahashi, H. (eds.)] (Part:Contributor, Sensitivity Analysis in a Bayesian Network for Modeling an Agent)
Springer, Singapore   2018   ISBN:978-981-13-1848-1

Conference Activities & Talks

 
Variable Selection Problem for Finding Appropriate Regional Revitalization Indices
Yoko Ishino, Hideto Nakamura
The 10th Oukan Conferences   30 Nov 2019   
Study on Popularization of QR Code Settlement in Japan
Tietie Chen, Yoko Ishino
Agents and Multi-agent Systems: Technologies and Applications 2019 (13th KES International Conference, KES-AMSTA-2019)   17 Jun 2019   
Elderly Consumers’ Behavior in Business-to-Consumer E-Commerce in Japan
Yoko Ishino, Hideyuki Aoki, Ken Kaminishi
The 28th International Conference for Management of Technology (IAMOT 2019)   7 Apr 2019   
Disparities in Open Data Efforts among Japanese Local Governments
Hideto Nakamura, Yoko Ishino
The 15th International Conference on Innovation and Management (ICIM 2018)   27 Nov 2018   
Japanese Health Food Market Trend Analysis
Yoko Ishino
The 12th International Conference on Agent and Multi-Agent Systems: Technologies & Applications (KES-AMSTA-18)   20 Jun 2018   

Association Memberships

 
THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION , JAPANESE SOCIETY FOR BIOINFORMATICS

Others

 
Apr 1986
DNA-synthesis stimulatory activity was found in some tryptic fragments of human beta-casein by using BALB/c3T3 cells, and two of them were identified as the beta-casein fragments of Arg[1] to Lys[18] and Gln[105] to Lys[117].
Apr 1994
Marketing decision making tasks require the acquisition of efficient decision rules from noisy questionnaire data. Unlike popular learning-from-example methods, in such tasks, we must interpret the characteristics of the data without clear features of the data nor pre-determined evaluation criteria. The problem is how domain experts get simple, easy-to-understand, and accurate knowledge from noisy data. This study proposed a novel method to acquire efficient decision rules from questionnaire data using both simulated breeding and machine learning techniques. The basic ideas of the method are that simulated breeding is used to get the effective features from the questionnaire data and that machine learning is used to acquire simple decision rules from the data. The simulated breeding is one of the Genetic Algorithm based techniques to subjectively or interactively evaluate the offspring generated by genetic operations in a human-in-a-loop manner. The proposed method was qualitatively and quantitatively validated by a case study on consumer product questionnaire data.
Apr 1996
This study proposed that knowledge systems should have the layered structure which consists of `strategy', `tactics,' and `physical world.' Based on this structure, we proposed a novel method for the computer aided strategic concept formation in the early conceptual stages of a product development process. This method enables the construction of computer-aided representations of a product concept along with strategy and tactics, while it stimulates a person to articulate his/her idea in mind. The system called BICSS has been developed based on this method. The based ideas of the system are: (1) to treat the strategic knowledge and tactical knowledge independently; and (2) to repeat the interactive cycle between humans and computers. A simple expert system is used for strategic knowledge. The interactive evolutionary computing (IEC) including interactive Genetic Algorithms and inductive learning techniques is used for tactical knowledge. The proposed method has been qualitatively validated by a case study.
Nov 1999
We proposed an effective method for knowledge acquisition from raw data monitored through design process, using a pattern matching and other AI techniques. We developed a practical knowledge capturing system connected with engineering CAD system using Java language.&0a;I joined Agent-based Engineering-design Knowledge Management (AEKM) project, whose objective was to effectively utilize distributed resources for collaborative mechanical engineering design.
Apr 2002
We determined data structure of a database for storing genomic information of many strains of Arabidopsis Thaliana.&0a;We developed the database using MySQL and Perl language.&0a;We analyzed the data that contained SNP information from the population genetic point of view.&0a;