General methods/techniques of data science have been provided for various data-driven industries, organizations and as well as governments. They may need to solve a discipline-specific problem with enormous amount of complex data coming from different domains yet escalating periodically. Usually, the available general solutions cannot fully resolve the problem facing the challenges of various data formats, data integration, etc. This raises a need to look into Data Enabled Applications (DEAs) that are created and designed specifically for discipline-specific problems.
In this special session, we are looking for new methodologies and best practices to integrate or improve the general methods/techniques to enable purposeful DEAs for specific problems.

The DEAs include but are not limited to:
- Health Informatics
- Transportation & Automation
- Human Resource
- Business
- Finance
- Marketing
- Agriculture

This special session provides a platform for exchanging ideas of DEAs and invites researchers from universities as well as experts from various industries to contribute advances to the research community.

Paper Submission
*All manuscripts submitted should be prepared according to the Springer-Verlag LNCS style. The length of the manuscripts prepared with the given template should be between
- regular papers: 8 to 14 pages (oral presentation)
- short papers: 6 pages (poster or oral presentation)
*The submission info. and paper templates are available at
https://khamreang.msu.ac.th/miwai17/submissions.html
*All accepted and presented papers will be included in the proceedings of MIWAI 2017 which will be published by Springer in LNAI, a topical subseries of LNCS focusing on artificial intelligence (Indexed in the ISI Conference Proceedings Citation Index, Scopus, EI Engineering Index, Google Scholar, DBLP, etc.).

Post-Conference Journals
Selected papers will be invited for publication in one of the special issues of the following international journals after the conference:
*International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) - IGI
*Natural Computing - Springer

For general inquiries, contact DEAs 2017 Chair at kckhor@mmu.edu.my