IEEE International Conference on Data Mining

MoDAT : Designing the Market of Data - for Practical Data Sharing via Educational and Innovative Communications

December 14th, in conjunction with IEEE ICDM 2014 in Shenzhen, China.

Linked from - Analytics, Big, Data, Data Mining, and Data Science Resources, DBWorld, and relevant societies


This workshop is not about data mining for marketing, but about how to create and design the market where data are reasonably dealt with, i.e., sold, opened free, or shared after negotiation. Our ultimate goal is to have each people on the earth feel free to share one's own data with others without fearing of the loss of business opportunities.

In order to make a social environment where analysts and decision makers in active businesses and sciences can be provided with data they need, in this workshop we aim to (re)design an environment called the Market of Data, where each user or provider of data can understand the value of each part of data so that one can buy/sell it for a reasonable price. Here, the value of each part of data shall be visualized to aid users' considering its possible contribution to promoting/creating businesses and scientific findings.

Furthermore, it is noteworthy that data scientists need to import techniques from others, but the techniques are not easy to learn from experts dealing with different kinds of data, because the similarity between data is not always obvious. The similarity between latent dynamics behind data is also desired to be represented in such a way as visualizing distances among structural features of data for aiding the choice of success/failure cases of data mining to learn from.

Program for 14th December, 2014

This is tentative: The time for lunch and coffee should be rearranged according to the LAC's advice, by 7th November
08:30 - 08:45 Hello!!!

Yukio Ohsawa

Opening Remark from the Initiator of MoDAT - since 2013 -

08:45 - 09:10

Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Fanjiang Xu
A Parallel Implementation of IdeaGraph to Extract Rare Chances from Big Data

09:10 - 9:35

Yanjun Zhu, Yasufumi Takama, Yu Kato, Shogo Kori , Hiroshi Ishikawa , Koichi Yamaguch
Introduction of Search Engine Focusing on Trend-related Queries to Market of Data

9:35 - 10:00

Baoxu Shi , Tim Weninger
Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks

Coffee break (served 10:00-10:15);

10:15 - 10:40

Makoto sakahara, Shogo Okada , Katsumi Nitta
Domain-independent Unsupervised Text Segmentation For Data Management

10:40 - 11:05

Fukiko Kobayashi, Yumiko Nara
A Narrative Analysis by Text Mining Technique Using KeyGraph -- Similarity and Difference of a view of oral health and oral risk cognition between Japanese living people and dentists --

11:05 - 11:30

Noriyuki Kushiro, Shodai Matsuda, Ryoichi Torikai, Kunio Takahara
A System Design Method Based on Interaction Between Logic and Data Sets

11:30 - 11:55

Teruaki Hayashi and Yukio Ohsawa
Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness
(linked to Innovators Marketplace on Data Jackets to be played if time and space allows, after the session)

11:55 - 12:20

Kenshin Ikegami,Yukio Ohsawa
Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis

12:20 - 12:30

Collecting Data Jackets, preparatory for the gaming session


14:00 - 14:40 Invited Presentation

K. Thomas Pickard, Director, Healthcare Industry Marketing at PACSGEAR
Keynote 1: Exploring Markets of Data for Personal Health Information

14:40 - 15:20 Invited Presentation

Wang Hao, Associate Professor, Chinese Academy of Sciences
Keynote 2: Supporting Discoveries on the Web - A Technical Approach Toward Data Market
(linked with paper "A Parallel Implementation of IdeaGraph to Extract Rare Chances from Big Data")

15:20 - 15:45

Akinori Abe
Abduction dealing with potential values

Coffee break (served 15:45-16:00)

16:00 - 16:25

Masahiko Teramoto, Jun Nakamura
Adaptability of dynamic quality function deployment to the concept design of electric trucks -An attempt to knowledge management and data engineering-

16:25 - 16:50

Jun Nakamura
Creating essential hypothesis and rules in product planning - Introducing Abductive Inference Model

16:50 Short discussion for continuing MoDAT

After 17:00 The evening session, somewhere out

Let's play Innovators Marketplace on Data Jackets, toward Furture Activities of MoDAT

organized by Teruaki Hayashi, Kenshin Ikegami, and Yukio Ohsawa The University of Tokyo and CREST, JST.

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Program Committee

Program Committee:
Ohsawa, Yukio., The University of Tokyo, Japan (chair)
Abraham, Ajith., Machine Intelligence Research Labs, USA
Abe, Akinori., Chiba University, Japan
Bruza, Peter., Queensland University of Technology, Australia
Chang, Kuiyu., Fyreflyz Private Limited, Singapore
Hasida, Koiti., The University of Tokyo, Japan
Hong, Chao-Fu., Aletheia Universtity, Taiwan
Liu, Huan., Arizonsa State University, USA
de Maeyer, Christel Vrije Universiteit Brussel, Belgium
Nitta, Katsumi, Tokyo Institute of Technology, Japan
Van den Poel, Dirk., Ghent University, Belgium
Slezak, Dominik., Warsaw University, Poland
Takeda, Hideaki., National Institute of Informatics, Japan
Wang, Hao., Chinese Academy of Sciences, China
Welge, Michael., University of Illinois at Urbana-Champaign, USA

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.

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