Announcements | Centre for Modeling and Simulation | Savitribai Phule Pune University

Case-Study Session | Outlier Detection

Title	Outlier Detection
Speaker	Prakash Shelokar, Xoriant Solutions Pvt Ltd Dr. Prakash Shelokar holds a PhD in Process Engineering from the University of Pune + National Chemical Laboratory, Pune. Currently, he heads the data science group at Xoriant Solutions Pvt Ltd, Pune.
Date & Time	Saturday, 11 February 2017 \| 10:00-12:30
Venue	Kelkar Laboratory Centre for Modeling and Simulation, Savitribai Phule Pune University
Abstract	This module will introduce outlier detection for multivariate data analysis. It is a primary preprocessing step in data mining and machine learning applications. Presence of outliers may adversely lead to model misspecification, biased parameter estimation and incorrect results. It is therefore important to identify them prior to modeling and analysis. Outlier detection methods can be classified as statistical, supervised, and unsupervised techniques. This module will cover basics of these methods along with some applications.
Organizer/Host	VK Jayaraman and Mihir Arjunwadkar, Centre for Modeling and Simulation, Savitribai Phule Pune University

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