The deadline for the paper submission has been extended.

This is the workshop in IEEE International Conference on Data Mining 2018 (http://icdm2018.org/).
More information is available here.
http://www.panda.sys.t.u-tokyo.ac.jp/CDEC/2018/

((Scope))
Due to recent social movement of big data and artificial intelligence, the importance of data and data mining has been increasing. In the background of these expectations, there are the externalizations of interdisciplinary issues. Many papers about data mining have been published, and the processes of analyzing data have been shared widely. However, there are not many studies targeting the process of cross-disciplinary data exchange and collaboration using knowledge acquired by data mining. Because cross-disciplinary data exchange and collaboration includes various activities of different stakeholders, it is difficult to evaluate the patterns or the processes quantitatively. To tackle the above problems, we propose a practical workshop to discuss the data-driven decision making focusing on the processes and the interactions among data, humans, and society.

The workshop is Cross-disciplinary Data Exchange and Collaboration (CDEC). CDEC includes the practical fields which analytically performs the topics using data, the challenging solutions against social issues, and the cross-disciplinary data collaboration and its process. Our workshop targets not only cleanly formatted single data but also heterogeneous data which affect human behaviors, thoughts, and intentions in different domains. We also focus on the discussion to obtain tacit knowledge of data mining by analysis and synthesis. In addition to these research fields, the cognitive approach for observing the processes of knowledge discovery and data exchange is also included in our focus. Conflicts and inconsistencies may arise due to diversity when stakeholders with different knowledge have discussions on data-driven decision making. We believe the workshop focusing on the process of cross-disciplinary data exchange and collaboration has great significance not only on academic fields but also on beyond academia in the society.

This workshop is a natural extension of MoDAT (International workshop on the Market of Data), which had been conducted as a series of workshops in ICDM in the past five years from 2013 to 2017. In MoDAT workshops, we discussed how to design the market of data, and solutions leading productive actions in businesses and sciences – including industrial, political, and educational sectors – had been created. In the workshop of CDEC, we also discuss the practicality of these applications based on the discussions of MoDAT.

((Topics))
We call for anyone interested in the following topics of Cross-disciplinary Data Exchange and Collaboration.

Data Mining Application Areas:
-Statistical Graphics and Mathematics
-Financial, Security and Business
-Physical Sciences and Engineering
-Earth, Space, and Environmental Sciences
-Geographic/Geospatial/ Terrain Data Mining
-Text, Documents and Software
-Social, Ambient and Information Sciences
-Multimedia (Image/Video/Music) Mining
-Network Mining
-Data Mining for marketing

Case Studies on Data Exchange and Collaboration:
-Methods for data evaluation and utilization
-Data management and curation
-Risks, limitations, and challenges of Data Exchange
-Trust, resilience, privacy and security issues

Data Focused Cognitive Research:
-Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling, including quantitative and qualitative results
-Theoretical models, technological advances and experimental methods of Human-Computer Interaction, Cognitive Science, and Behavioral Science and Modeling

Data Focused Visualization Research:
-High-Dimensional Data, Dimensionality
-Reduction, and Data Compression
-Multidimensional Multi-Field, Multi-Modal, Multi-Resolution and Multivariate Data
-Causality and Uncertainty Data
-Time Series, Time Varying, Streaming Data
-Point-Based Data
-Large Scale Data

Empirical And Comprehension Focused Data Mining:
-Modeling of Machine Learning for Social Data
-Data Mining and Machine Learning Methods
-Based on Empirical Knowledge
-Ontology and Dictionary
-Business Efficiency
-Cognition and Perception Issues Natural Language Processing Text mining
-Retrieval/recommender systems

((Key Dates))
All deadlines are at 11:59PM Pacific Time.
-Workshop paper submissions: August 14, 2018 (extended!)
-Workshop paper notification: September 4, 2018
-Camera-ready deadline and copyright forms: September 15, 2018
-Workshop dates: November 17, 2018

((Special Issue))
Thanks to editors of MDPI, we decided "CDEC: Cross-disciplinary Data Exchange and Collaboration" as a special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

We believe that this Special Issue provides a chance of reaching even broader audiences to the authors of CDEC 2018, who are therefore invited to submit extended versions of their papers to the Special Issue. However, authors interested in extending their workshop papers must be aware that the final submitted manuscript must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper. Each manuscript will be blind reviewed by MDPI academic editors.

Deadline for manuscript submissions: 28 February 2019
http://www.mdpi.com/journal/information/special_issues/CDEC_2018