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 Shenzhen, China
Stay 5 minutes here, to find how interesting MoDAT is!!! ...before you return to www.kdnuggets.com and check other conferences and KDnuggets' market of data.
- Deadline for submissions: September 10th 2014 (26th for resubmission from ICDM2014)
- Accepted papers will be published in a formal proceedings by the IEEE Computer Society Press
Scope
This is a FULL DAY workshop about how to create and design the market of data, where data are reasonably dealt with -- sold, opened, or shared based on negotiation. Since last year, we have been aiming at realizing a social environment where each person on earth feels free to share one・fs own and others・f data, with learning latent values of data, without fearing the loss of business opportunities.
Since the first MoDAT in ICDM2013, we have been observing effects of communication in experimental markets of data. Among other effects, humans・f thoughts for and by sharing/combining data turned out to be innovative in that born ideas tend to lead to novel and productive proposals in real businesses. Also, the effect was educative in that participants tend to learn methods and techniques for analyzing latent dynamics behind data. Reflecting such observations, this year we shall extend discussions in MoDAT to understand and design an environment for educational and innovative communications. And, in the market of data, a data scientist is expected to learn techniques for data mining from others who have been working on data from different domains. Analogies based on similarities between data are expected to accelerate such learning, and such the analogy may be aided by visualized correlations among features of data and among success/failure cases of analyses.
Here we call for anyone interested in designing a marketplace where people communicate to share data, knowledge, or experiences, and (re)use them. People in the market may also learn that interdisciplinary communication with data triggers participants・f innovations, or that the social responsibility of data provider is more important than the reward for selling data. Relevant topics are (not restricted to):
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Relevant Areas
- Data/Text mining and visualization:
- We discuss methods for visualizing links among data, representing their similarities and the possibility to combine them. Mining data/text for finding essential attributes and for extracting noteworthy causalities among events in data is also included in this topic.
- Communication, education, and innovation:
- Communication of stakeholders, which may externalize the use scenarios of and the latent value of data, is an important topic here. This effect may be reinforced by the visualization mentioned above, and even trigger the creation of products/services and the learning of the potential impact of data on the decision of people.
- Knowledge representation:
- It is desired to construct ontologies of variables in data, for reasonably linking among heterogeneous data. Hierarchical structures of relevance among events, concepts, and variables, should be also considered and discussed here, since it will support the thoughts of analysts and users of users.
We also love to involve active people who are not familiar with data mining, e.g., educators, business administrators, stock dealers, sociologists, cognitive scientists. By thus forming an interdisciplinary community, we will also organize a gaming session of Innovators MarketplaceR on Data Jackets (IMDJ) to share an image of educational and innovative market of data.
Summary of last year, i.e., MoDAT2013
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We initiated MoDAT workshop since 2013, in ICDM2013. According to the workshop
committee in ICDM2013, MoDAT2013 has got reported to the steering committee as the best
of all 19 workshops in the conference. The rich contents of MoDAT2013 can
be very briefly summarized
- Data collection and disclosure are a complex process involving costs and risks
- Time is a factor we should consider for accounting to the value of data
- Data on skills should be represented as important elements for innovation
- Data jackets form a platform for curating data of and creating value on data
- Data in the market will be the basis for logical and creative Quality Function Deployment (QFD, tightly linked to Innovators Marketplace on Data Jackets)
- Ontology construction with non-monotonic reasoning will be essential for requirement aquisition about data
- Creation, prediction, and visualization will a triple of technical research goals in MoDAT
Important Dates
- Deadlines for submission
- For regular papers Semtemer 10th, 2014 (extended by the ICDM workshop chair)
- Resubmission from the main conference of ICDM2014 September 26th, 2014 (extended by the ICDM workshop chair)
- Other important dates
- September 26, 2014: Notification of paper acceptance to authors
- December 14, 2014: The workshop (note: by 22 August we have already more than enough papers, so we are certain to open MoDAT2014)
Submission and Contact
ICDM has the unique tradition that all accepted workshop papers are published in a formal proceedings by the IEEE Computer Society Press.
- Submission
- by the due 10th (or 26th for resubmission from ICDM2014) September 2014.
- Paper submission: Authors are advised to visit the submission site established by the conference's WS committee.
- Format: Limited to a maximum of *10* pages, in the IEEE 2-column format (for IEEE Computer Society conference proceedings). See the conference submission page (take care... this is not your submission gate!) only to find the formatting guideline. Again note this is not your interface for submission.
- Note (1): Each submitted paper is to be carefully reviewed by at least two/three, and should be approved by the ICDM Workshop Chairs.
- Note (2): Once the decision on paper acceptance has been made, the authors will be notified that camera-ready versions should be prepared and submitted through the submission system.
- Chair
- Yukio Ohsawa
- Professor, Dept. of Systems Innovation, School of Engineering, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8583, Tel: +81-3-5841-2908
- Email: (Ohsawa and Secretary: info@panda.sys.t.u-tokyo.ac.jp)
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