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 www.KDnuggets.com - Analytics, Big, Data, Data Mining, and Data Science Resources, DBWorld, and relevant societiesScope
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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. |
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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!!!
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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 NetworksCoffee 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 valuesCoffee 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.
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