Talks & Seminars
Title: A Unified Approach for Global and Local Outlier Detection in Large Databases
Prof. Sanjay Chawla, School of Information Technologies, University of Sydney
Date & Time: February 1, 2011 14:30
Venue: Conference Room, 01st floor, 'C' Block, Kanwal Rekhi Bldg.
An outlier is an unexpected event or entity. For example, many experts view the Great Financial Crash (GFC) of 2008 as an outlier event which has triggered a reappraisal of mainstream economic and financial models which define the expected. The objective of Outlier Detection in Data Mining is in similar vein; outliers often embody new information, which is often hard to explain in the context of existing knowledge and results in a re-evaluation of what is known. In this talk, I will begin by presenting a brief overview of modern outlier detection techniques. In particular I will focus on global and local outlier detection methods and then propose a new approach, based on spectral embedding, which unifies both these strands. This is joint work with Khoa Nguyen.
Speaker Profile:
Sanjay Chawla is a Professor and Head of School in the School of Information Technologies, University of Sydney. Sanjay's research lies in the area of data mining with a particular focus on outlier detection. Sanjay is a co-author on the text “Spatial Databases - A Tour”, which has now been translated into Russian and Chinese. Sanjay was a PC Co-Chair for COMAD 2009.
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