|search externally:||Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife|
Ramamohanarao (Rao) Kotagiri is Professor in
the Department of Computer Science and Software Engineering
at the University of Melbourne.
The ability to distinguish, differentiate and contrast between different datasets is a key objective in data mining. Such an ability can assist domain experts to understand their data, and can help in building classification models. His presentation will introduce the principal techniques for contrasting different types of data, covering the main dataset varieties such as relational, sequence, and graph forms of data, clusters, as well as data cubes. It will also focus on some important real world application areas that illustrate how mining contrasts is advantageous.
as author at Summer Schools in Logic and Learning, Canberra 2009,
Contrast Data Mining: Methods and Applications
as author at Machine Learning Summer School (MLSS), Kioloa 2008,