Minisymposium (ID: SS-DASO)

Data Analytics for System Optimization

Wenying Feng (Trent University), Jimmy Huang (York University), Jianhong Wu (York University)

This session aims to provide communication opportunities for recent advances in applied data analytics toward Internet based system optimization. Mathematical modeling techniques, statistical procedure and machine learning algorithms will be discussed. The focus will be on real world problems in data classifications and prediction. In particular, we are interested in networking, social media, pattern recognition, search engine, information retrieval and related industrial areas with the applications of data mining and machine learning.

Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2017 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2017 Proceedings.

If you intend to submit your paper, please go to the AMMCS-2017 Proceedings Page. Follow exactly the Author Instructions accessible from that page.