Minisymposium (ID: SS-UAMLTDA)

Utilizing AI and Machine Learning Techniques for Data Analytics

Wenying Feng (Trent University) and Simon Xu (Algoma University)

The Mini-symposium Utilizing AI and Machine Learning Techniques for Data Analytics aims to provide communication opportunities for recent advances in applied data analytics toward computational system optimization. AI algorithms, Machine Learning algorithms, statistical procedure and mathematical modeling techniques will be discussed. The focus will be on real world problems in data classification, prediction and regression. In particular, we are interested in (but not limited to) deep learning, neural networks, social media, pattern recognition, search engine, information retrieval, natural language processing, health and environment related application areas.

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-2023 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2023 Proceedings.

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