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SUMMARY:Pro-active Knowledge Discovery - Detlef Nauck - Chief Research Sci
 entist\, BT Innovate &amp\; Design
DTSTART:20090916T150000Z
DTEND:20090916T160000Z
UID:TALK19942@talks.cam.ac.uk
CONTACT:Labi Ariyo
DESCRIPTION:Knowledge Discovery in Databases\, or KDD for short\, is often
  described as to identify valid\, useful\, meaningful\, unknown\, and unex
 pected relationships in large databases. As the terms "unknown" and "unexp
 ected" make obvious KDD is an exploratory process.\nData mining – the ma
 in technique employed in KDD – concentrates typically on building statis
 tical models or classifiers and predictors based on machine learning and t
 hus covers only the aspects of the KDD definition that deal with "useful" 
 and "meaningful". Techniques for truly discovering the unknown and the une
 xpected are much less prevalent and certainly have not yet made their way 
 from the research labs into commercial software platforms in contrast to t
 he widely available data mining tools. Large organisations like BT that co
 llect huge amounts of data about its internal processes and its interactio
 ns with customers are facing a discovery challenge. How do we detect relev
 ant patterns across our distributed data silos that point to important fut
 ure events or developments that are yet still unknown and unexpected and h
 ow can we do this pro-actively?\n\nAbout the author:\nDr. Detlef Nauck is 
 a Chief Research Scientist at BT's Intelligent Systems Research Centre. He
  is also a Visiting Professor and Bournemouth University and a Private Doc
 ent at the Otto-von-Guericke University of Magdeburg. He has won two BCS m
 edals and has served as an Associate Editor of IEEE Transactions on System
 s\, Men and Cybernetics - Part B. Dr. Nauck's current research interests i
 nclude the application of Computational Intelligence\, Intelligent Data An
 alysis and Machine Learning in different areas of Business Intelligence.
LOCATION:Arthur Marshall's meeting room (next to EDC loft)\, Inglis Buildi
 ng\, Engineering Department.
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