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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.
Abstract:
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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