Connectionists: AAi Seminar: Contrast Mining Aided Problem Solving and Data Analytics: Successes and Potential
Advanced Analytics
AdvancedAnalytics at uts.edu.au
Mon May 19 02:29:50 EDT 2014
Dear Colleague,
AAi Seminar: Contrast Mining Aided Problem Solving and Data Analytics: Successes and Potential
Speaker: Professor Guozhu Dong, Knoesis Center and Department of CSE, Wright State University, Dayton, Ohio, USA
Date: Monday 26 May 2014
Time: 1.30pm to 2.30pm
Location: Blackfriars Campus, Room CC05.GD.03
Seminar Chairman: Associate Professor Jinyan Li, Seminar Coordinator, AAI - Jinyan.Li at uts.edu.au<mailto:Jinyan.Li at uts.edu.au>
Abstract:
Contrast data mining is about (a) the mining of patterns and models that characterize the differences between contrasting data sets of different classes/conditions, and (b) the use of the mined results to solve challenging problems (in the area of contrast mining assisted problem solving and data analytics). Since the pioneering work on emerging pattern mining in 1999 by Dong and Li, a significant body of results on contrast mining have been published, including a book in 2012. In this talk Professor Dong will focus on the successes and potential of contrast mining assisted problem solving. He will provide an overview of results on contrast pattern based classification, contrast pattern based outlier detection, and contrast pattern based gene ranking for complex diseases, including example successes in cancer analysis, molecular compound selection, toxicity analysis, blog analysis, and city environment analysis for crime prevention. He will also give detailed discussion on recent advances on contrast pattern based clustering and contrast pattern aided regression, together with discussion on their exciting performance in experiments. Professor Dong believes that contrast mining assisted problem solving and data analytics have big potential, since they offer powerful concepts and tools to effectively handle challenges associated with multiple complex attribute/variable relationships in high dimensional data.
Bio:
Guozhu Dong is a full professor at Wright State University. He earned a PhD in Computer Science from the University of Southern California. His main research interests are data mining, data science, bioinformatics, and databases. He has published over 150 articles and two books entitled "Sequence Data Mining" and "Contrast Data Mining," and he holds 4 US patents. He is widely known for his pioneering work on contrast/emerging pattern mining and applications, and for his work on first-order maintenance of recursive and transitive closure views. His papers have received 5400+ citations (scholar.google.com) and his h-index is 35. He is a recipient of the Best Paper Awards from the 2005 IEEE ICDM and the 2014 PAKDD, and a recipient of the Research Excellence Award at College of CECS of WSU. He is a senior member of both IEEE and ACM.
Overview to AAI seminar series
The Advanced Analytics Seminar Series presents the latest theoretical advancement and empirical experience in a broad range of interdisciplinary and business-oriented analytics fields. It covers topics related to data mining, machine learning, statistics, bioinformatics, behavior informatics, marketing analytics and multimedia analytics. It also provides a platform for the showcase of commercial products in ubiquitous advanced analytics. Speakers are invited from both academia and industry. It opens regularly on a week day at the garden-like UTS Blackfriars Campus. You are warmly welcome to attend this seminar series.
Thank you for your consideration to attending this quality Seminar by our visitor, Professor Guozhu Dong, from the Knoesis Center and Department of CSE, Wright State University, Dayton, Ohio, USA
Regards.
Colin Wise
Operations Manager
Faculty of Engineering & IT
The Advanced Analytics Institute
[cid:image001.png at 01CF6910.56EBA230]
University of Technology, Sydney
Blackfriars Campus Building 2, Level 1
Tel. +61 2 9514 9267
M. 0448 916 589
Email: Colin.Wise at uts.edu.au<mailto:Colin.Wise at uts.edu.au>
AAI: www.analytics.uts.edu.au/<http://www.analytics.uts.edu.au/>
UTS CRICOS Provider Code: 00099F
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