Director's Profile

yada02

Katsutoshi Yada

M.A., Ph.D. (Kobe University of Commerce)

As a graduate student, Professor Yada developed his field experience with data mining working on the frontlines at several companies to apply information technologies to business, and conducting research into the strategic use of large-scale data and business applications for data mining. After completing a doctorate in 1997, he taught in the Department of Business Administration at Osaka Industrial University. In 2000, he joined the Faculty of Commerce at Kansai University.
Professor Yada’s present research interests include data mining for service, and information strategy concerning data mining. He was part of the first team of Japanese researchers to publish in Data Mining and Knowledge Discovery, the premier international journal in the field of data mining. He has since played a leading role in research into data mining applications in Japan. His work appears in several other international journals (including Soft Computing and Decision Support Systems) and numerous conference proceedings. He has also been a guest editor of special issues of Information Science and participated in cutting-edge marketing research, presenting work at international meetings of the American Marketing Association (AMA). He has received many international and domestic awards from academic societies and conferences including the Distinguished Professor Award from Kansai University.
In addition to holding the post of director of the Data Science Laboratory, Professor Yada also serves as the chair of Kansai University’s DSI (Data Mining and Service Science for Innovation) Program. He has previously been a visiting professor at Osaka University, visiting scholar at Columbia University, and chairman or committee member at several international conferences and workshops, including ICDM (IEEE International Conference on Data Mining) and technical committee chair of IEEE SMC (Systems, Man, and, Cybernetics Society).

[Major Work]

Iwanami Data Science (2016), Iwanami Shoten.
Data Mining for Service (2014), Springer Press.
Data Mining for Design and marketing (2009), Chapman & Hall/CRC Press. (with Y. Ohsawa)

[Awards]

The Best Paper Awards, Finalist, IEEE International Conference on Systems, Man, and Cybernetics, 2014.
Encouragement Awards of Japanese Society for Artificial Intelligence, June 2012
Encouragement Awards of Japanese Society for Artificial Intelligence, June 2011
Grand Prize, Marketing Analysis Contest 2010, Nomura Research Institute, Ltd.
Distinguished Professor Award, Kansai University, February 2009
Second Prize, Marketing Analysis Contest 2007, Nomura Research Institute, Ltd.
The Session Best Presentation Award at SCIS & ISIS 2006, in Tokyo, September 2006
Outstanding Book Award, Japan Society for Fuzzy Theory and Intelligent Informatics, December 2005
International Development Award, Center for International Business Education and Research (CIBEAR), Marshall Business School, USC, USA, December 2003
The Best Paper Award at the IBER Conference in Las Vegas, Nevada, 2003
Encouragement Awards of SPSS Open House, 2003
Encouragement Awards of Japanese Society for Artificial Intelligence, June 2002
Kanematsu Fellowship in Research Institute for Economics & Business Administration at Kobe University, April 1996

DS Lab, Kansai University

The Development of Data Mining and Service Science for Innovation (DSI program) was adopted in FY2008 by the Ministry of Education, Culture, Sports, Science and Technology as a 'Human resource development by industry-university partnership' project.

DATA MINGING LABORATORY (DM LAB.) was adopted by the Ministry of Education, Culture, Sports, Science and Technology as a Support Project for Strategic Collaboration between Private Universities (2010-2014).

The purpose of this program is to develop data scientists—human resources who can create new value by using sophisticated information and communications technology, and the huge volumes of data accumulated both within and outside a company.