Data Scientist


Did you realise that it is dangerous to assume data are interval scale?

Many machine learning algorithms make an implicit assumption that numeric data are interval scale, specifically, that a unit difference between values has the same meaning irrespective of the magnitude of …

Variety in recent publications

I have had a nice variety of recent papers! Concept drift: Characterizing Concept Drift. Webb, G. I., Hyde, R., Cao, H., Nguyen, H. L., & Petitjean, F.Data Mining and Knowledge …

Francois Petitjean wins Research Impact Award

Congratulations to my colleague Francois Petitjean for winning the Victorian Young Achiever Awards Research Impact Award.

Grant successes

The Australian Research Council has funded the following two projects: Electronic skin nanopatches for continuous blood pressure monitoring Investigators: Prof Wenlong Cheng (Chief Investigator) Prof Andrew Tonkin (Chief Investigator) A/Prof …

ECMLPKDD2015 Tutorial on Scalable Learning of Graphical Models

Our tutorial introduces the key theory and techniques required for creating scalable techniques for learning graphical models.

Magnum Opus joins BigML

Since 1999, Magnum Opus has been a leading data mining tool making association discovery better and faster for everyone. BigML is the best platform for Machine Learning on the internet. …

SDM15 paper award

We are delighted to receive the SDM15 Best Research Paper Honorable Mention award. The Society for Industrial and Applied Math (SIAM) International Conference on Data Mining (SDM15) Awards Committee selected …

KDD-14 tutorial on Statistically Sound Pattern Discovery

Our ACM SIGKDD 2014 tutorial on Statistically Sound Pattern Discovery can be found here. The slides and supporting material can be found here.

A Data Scientist’s Guide to Making Money from Start-ups

View our panel on Video Lectures: A Data Scientist’s Guide to Making Money from Start-ups Geoff Webb, Foster Provost, Ron Bekkerman, Oren Etzioni, Usama Fayyad, Claudia Perlich We also wrote …