Nowadays web users generate a lot of data in a form of web logs. This data can tell us a lot about visitor behavior, their demands and preferences. Predictive web analytics is aimed at understanding and predicting behavioral patterns of users in various web-based applications or services: e-commerce, mass-media, and entertainment industries. This mini workshop focuses on challenges and techniques in predictive web analytics.
If you are interested to find out what can be predicted from visitor behavior on the web and how it can be done, welcome to attend!
Date: Monday, 31/10/2011
Time: 4pm – 6pm
Place: PG143, Poole House, Talbot Campus
4pm – 5pm
5pm – 6pm
Omar Kudmany will talk about Web log pre-processing using Complex Event Processing technologies