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
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.
- regular papers: 8 to 14 pages (oral presentation)
- short papers: 6 pages (poster
or oral presentation)
*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.).
Authors of best papers will be invited to submit extended versions (at least 30% of new content) of their work to be appreciated for publication in a Fast Track submission process of the Elsevier Applied Soft Computing (ASOC) Journal.
The organisers are in talks with the international journals as follows to arrange for publication of special issues.
*International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) - IGI
*Natural Computing - Springer