Geoff Webb
homepage:http://www.csse.monash.edu.au/~webb/
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Description

Geoff Webb is a Professor of Information Technology Research in the Faculty of Information Technology at Monash University, where he heads the Centre for Research in Intelligent Systems. His primary research areas are machine learning, data mining, user modelling and computational structural biology. He is known for his contribution to the debate about the application of Occam's razor in machine learning and for the development of numerous methods, algorithms and techniques for machine learning, data mining, user modelling and computational structural biology. His commercial data mining software, Magnum Opus, incorporates many techniques from his association discovery research. Many of his learning algorithms are included in the widely-used Weka machine learning workbench. He is editor-in-chief of Data Mining and Knowledge Discovery, co-editor of the Springer Encyclopedia of Machine Learning, a foundation member of the advisory board of Statistical Analysis and Data Mining, a member of the editorial board of Machine Learning and was a foundation member of the editorial board of ACM Transactions on Knowledge Discovery from Data. He is PC Co-Chair of the 2015 ACM SIGKDD Conference on Knowledge Discovery and Data Mining was PC Co-Chair of the 2010 IEEE International Conference on Data Mining and co-General Chair of the 2012 IEEE International Conference on Data Mining. He has received the 2013 IEEE ICDM Service Award and a 2014 Australian Research Council Discovery Outstanding Researcher Award (one of only seven awarded across all research disciplines).


Lectures:

lecture
flag The tech giants are harvesting your data. Should you care?
as author at  Kolokviji na Institutu "Jožef Stefan",
146 views
  lecture
flag Learning in a dynamic and ever changing world
as author at  Solomon seminar,
221 views
lecture
flag A multiple test correction for streams and cascades of statistical hypothesis tests
as author at  22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
1413 views
  tutorial
flag Scalable Learning of Graphical Models
as author at  22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
together with: François Petitjean,
1935 views
summary
flag Concluding Session
as presenter at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: Sofus Attila Macskassy (organizer), Thorsten Joachims (presenter),
2521 views
  tutorial
flag Statistically Sound Pattern Discovery
as author at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
together with: Wilhelmiina Hämäläinen,
4899 views
panel
flag A Data Scientist’s Guide to Making Money from Start-ups
as moderator at  19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago 2013,
together with: Foster Provost (moderator), Ron Bekkerman (panelist), Oren Etzioni (panelist), Usama Fayyad (panelist), Claudia Perlich (panelist),
18278 views