Exploring causal relationships in observational data, by Prof. Jiuyong Li

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Topic: Exploring causal relationships in observational data
Speaker: Prof. Jiuyong Li, University of South Australia
Date and time: 4:15-5:15pm, Wednesday 16 Nov 2016

Location: Visitor Centre theatre, AIS, Bruce. After entering the building, take the stairs on left-hand side (next to the shop) up to the theatre room. See Building #25 Visitor Centre on map below.
AIS Campus Map: http://www.ausport.gov.au/__data/assets/pdf_file/0004/648310/33911_AIS_Campus_Map_-_March_2016.pdf
How to get there: http://www.ausport.gov.au/about/finding_us


Association analysis is an important technology in data mining, and has been widely used in many application areas. However, associations in data can be spurious and they do not indicate causal-effect relationships that are ultimate goals for many scientific explorations and social studies. While the techniques for association discovery become mature, the problem for identifying non-spurious associations becomes prominent. In this talk, I will discuss some current methods for causal relationship discovery and our research work in this direction.

About the speaker:

Dr Jiuyong Li is a Professor and an Associate Head of School at the School of Information Technology and Mathematical Sciences of University of South Australia. He leads the Data Analytics Group in the School. His main research interests are in data mining, bioinformatics, and data privacy. He has led five Australian Research Council Discovery projects and leads a Data to Decision CRC project. He has published more than 100 papers, mostly in leading journals and conferences in the areas. His software tools have been used in several real world projects. He has been a chair (or a PC chair) of multiple Australasian data mining and artificial intelligence conferences and international causal discovery workshops. He has received senior visiting fellowships from Nokia Foundation, the Australian Academy of Science, and Japan Society of Promotion of Science.
Homepage: http://people.unisa.edu.au/jiuyong.li


Thanks to AIS and Ms. Xiaoyan Lu for providing the venue.