IEEE International Conference on Data Mining

D MoDAT : Data Market for Co-evolution of Sciences and Business

-  Data Exchange Platform for Creating Businesses and Sciences with Unexpected Benefits –

December 12th, 2016, In conjunction with IEEE ICDM2016, Barcelona, Spain


Scope  Relevant Areas  Important Dates  Program

Scope

Since ICDM2013, MoDAT is a workshop to discuss how to design the Market of Data. In this market, data are reasonably dealt with - opened free, sold for suitable prices, or exchanged/shared based on negotiation. In the negotiation, people are expected to discuss use-scenarios of data until they learn the value of data and feel free to share/exchange data with each other without fearing loss of business opportunities. In MoDAT workshops so far, participants discussed from aspects of data links, data/text/Web mining, creative communication, etc. As a result, methods born or bred in the MoDAT2013 and MoDAT2014 came to be applied for governmental and industrial activities toward data driven innovations and educations. In the last MoDAT workshop at ICDM2015, designing the environment for safe and secure human life has been discussed with various supporting tools and methods that have been proposed in terms of semantic analysis, promoting requirements elicitation, estimating contextual relationships and so forth.

 

 With reference of these past workshop outcomes, we should make the Market of Data use of more effective and efficient shared mechanism to function moving forward, i.e., not only within a certain area of interest but also cross data domains, cross functions and cross applications to emerge new opportunities integrating different applications. In future the Market of Data shall be developed as a business infrastructure for various stakeholders. For this purpose, this year we should focus on designing new services in combination with unexpected customers, by using/reusing/integrating data in the Market of Data.

http://www.panda.sys.t.u-tokyo.ac.jp/MoDAT/MoDATfig.JPG


Program for 12th December, 2016

Room: TBC

09:00 – 09:15 Welcome and Keynote

Yukio Ohsawa

Looking back at MoDATs since 2013, Chance Discovery since 2000

09:15 - 9:45

Mamoru Emoto
Method for Extraction of Purchase Behavior and Product Character Using Dynamic Topic Model

9:45 – 10:15

Rui Yang and Yukio Ohsawa
Visualization Method Based o Contour Map

 


Coffee break (served 10:15-10:30)


 

10:30 -11:00

Teruaki Hayashi
Inferring Variable Labels in Data Jackets

11:00 – 11:30

Noriyuki Kushiro, Tatsuya Ehira, and Rei Kahara
Aware Environment for Workshop with Game

11:30 – 12:00

Liu lihui, Song Junping, Wang Haibo, and Lv pin
BRPS: A Big Data Placement Strategy for Data Intensive Applications


Lunch


14:00 – 14:30

Amar Krishna, Ankit Agrawal, and Alok Choudhary
Predicting the Outcome of Startups; Less Failure

14:30 – 15:00

Hideki Isetani
The Prominent Role of Probe Data and Big Data in Modern Technology

15:00 – 15:30

Indranil Nath
Data Exchange Platform to fight Insurance Fraud

15:30 – 16:00

Ryuji Ito
ID-Link, and enabler for medical data marketplace


Coffee break (served 16:00-16:15)


16:15 - 18:00 The special session

Panel discussion on co-evolution of science and business
Organized by Teruaki Hayashi

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Program Committee

   Jun Nakamura, Shibaura Institute of Technology, Japan (chair)
   Ajith Abraham, Machine Intelligence Research Labs, USA
   Akinori Abe, Chiba University, Japan
   Peter Bruza, Queensland University of Technology, Australia
   Kuiyu CHANG, LinkSure, Singapore
   Koiti Hashida, The University of Tokyo, Japan
   Chao-Fu Hong, Aletheia Universtity, Taiwan
   Noriyuki Kushiro, Kyushu Institute of Technology, Japan
   Huan Liu, Arizonsa State University, USA
   Christel De Maeyer, Vrije Universiteit Brussel, Belgium
   Katsumi Nitta, Tokyo Institute of Technology, Japan
   Yukio Ohsawa, The University of Tokyo, Japan
   Dirk Van den Poel, Ghent University, Belgium
   Dominik Slezak, Warsaw University, Poland
   Hideaki Takeda, National Institute of Informatics, Japan
   Henry Wang, Chinese Academy of Sciences, China
   Michael Welge, University of Illinois at Urbana-Champaign, USA
   Katsumi Nitta, Tokyo Institute of Technology, Japan

 

Our Past Records

Also we organized relevant workshops so far, since year 2000. That are about data-driven approaches to business strategies such as Chance discovery and Data Synthesis (more than 30 international workshops and symposia, including ICDM 2010, AAAI Springer Symposia 2001, IJCAI 2011, ECAI2004, ECAI2011, KES2000 till 2013) Discovery, Decision, and Design (IEEE SMC 2005-2011), and other workshops organized by the Technical Committee of Information Systems for Design and Marketing: Ohsawa (the chair) has been and is the TC chair of Information Systems for Design and Marketing, in SMC society of IEEE. If we count those organized by any workshop members, the record will be too large to list here, e.g., workshops on semantic web, linked open data, data based marketing, etc., where business people and data scientists meet.