1st International Workshop on AI Methods in Data Mining Challenges (DMGATE'18)
Poznań, Poland, 9 - 12 September, 2018
The scope of DMGATE is to establish a forum for data scientists working at the edge of academic research and commercial applications, keen on developing and using AI-based methods in data mining projects and challenges. DMGATE continues the tradition of data mining competitions organized at FedCSIS.
This year’s competition starts on March 15 and lasts until April 30. The task is to predict win rates of Hearthstone players using various decks, based on logs from games played with similar decks. Further details will be provided soon.
As usual, competition winners will be granted with financial awards and/or free conference registration. Moreover, we will invite a small group of authors of the most interesting competition solutions to submit papers that will be reviewed on special fast-track basis.
Starting from this year, we also welcome regular paper submissions describing new approaches for analyzing data sets published online during previous competitions. These papers will be peer-reviewed by top specialists in the area of data science and – if accepted – they will be presented at the DMGATE session together with the papers prepared by this year’s competition winners.
We believe that it is highly important for the data science community to keep up the discussion on both current and past data mining competitions, in order to jointly develop a firm knowledge base on how to apply AI-based data mining methods in real life.
- Authors should submit draft papers (as Postscript, PDF or MSWord file).
- The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
- Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
- Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
- Extended versions of selected papers presented during the conference will be published as Special Issue(s).
- Organizers reserve right to move accepted papers between FedCSIS events.