Rao Kotagiri
homepage:http://www.cs.mu.oz.au/~rao/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

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.


Lectures:

tutorial
flag Data Mining
as author at  Summer Schools in Logic and Learning, Canberra 2009,
14972 views
  tutorial
flag Contrast Data Mining: Methods and Applications
as author at  Machine Learning Summer School (MLSS), Kioloa 2008,
9151 views