Campus Event Calendar
Event Entry
What and Who
PhD Application Talk: Device Log Mining
David Koch
Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, RG2
MPI Audience
English
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Date, Time and Location
Monday, 25 February 2008
09:00
330 Minutes
E1 4
024
Saarbrücken
Abstract
Modern devices typically generate large quantities of cheap log data. In order to extract relevant information from this historic data, however, a carfully chosen approach is required. In his presentation, the author will give an overview of his log mining activities in two different domains using machine learning techniques.
1. Mining of server log data - or clickstreams - with the aim of characterizing the navigational pattern of internet users (conducted at Fraunhofer IPSI)
2. Print log data - with the objective to predict failures of printers (conducted at Xerox Research Centre Europe)
1. Mining of server log data - or clickstreams - with the aim of characterizing the navigational pattern of internet users (conducted at Fraunhofer IPSI)
2. Print log data - with the objective to predict failures of printers (conducted at Xerox Research Centre Europe)
Contact
IMPRS-CS
225
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Tags, Category, Keywords and additional notes
Please note: The talks will take place in random order!
Lourdes Lara-Tapia, 02/21/2008 17:54
Lourdes Lara-Tapia, 02/21/2008 17:39 -- Created document.
Lourdes Lara-Tapia, 02/21/2008 17:39 -- Created document.