Ian H. Witten

Ian H. Witten
Witten having received an Honorary Doctorate from the Open University in September 2017
Residence New Zealand
Alma mater University of Essex
Scientific career
Thesis Learning to control (1976)
Notable students Craig Nevill-Manning

Ian H. Witten is a computer scientist at the University of Waikato, New Zealand. He is a Chartered Engineer with the Institute of Electrical Engineers in London who graduated from the University of Cambridge with a BA and MA (First Class Honours) in mathematics in 1969 and an M.Sc. in mathematics and computer science from the University of Calgary, where he was a Commonwealth Scholar, in 1970.[1] He received his Ph.D. for Learning to Control in 1976 from the University of Essex, England (Electrical Engineering Science).[1] Witten is a co-creator of the sequitur algorithm[2] and original creator of the WEKA software package for data mining.

Witten is a Fellow of the Royal Society of New Zealand[3] and a recipient of the Hector Memorial Medal which was awarded to him in 2005.[4]

Bibliography

  • Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann. January 20, 2011. ISBN 978-0-12-374856-0.
  • Web Dragons: Inside the Myths of Search Engine Technology. Morgan Kaufmann. November 2006. ISBN 978-0-12-370609-6.

See also

References

  1. 1 2 "Ian H. Witten: Resume". Cs.waikato.ac.nz. Retrieved 2017-03-14.
  2. ↑ Nevill-Manning, C.G.; Witten, I.H. (1997). "Identifying Hierarchical Structure in Sequences: A linear-time algorithm". arXiv:cs/9709102. Bibcode:1997cs........9102N.
  3. ↑ "Current Fellows « Fellowship « The Academy « Our Organisation « Royal Society of New Zealand". Royalsociety.org.nz. 2014-06-20. Retrieved 2017-03-14.
  4. ↑ "Awards and Prizes - Department of Computer Science : University of Waikato". Cs.waikato.ac.nz. Retrieved 2017-03-14.
  • http://www.cs.waikato.ac.nz/~ihw Academic homepage
  • "If You've Got Data, Mine It Yourself: Ian Witten on Data Mining, Weka, and his MOOC".


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