University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Graduation Talks


Visual Analytics of Patterns in High-dimensional Data


Andrada Tatu, University Konstanz
Konstanz, Germany

date & place

Wednesday, 25.01.2012, 16:15 h
Room C252


The extraction of relevant and meaningful information out of high-dimensional data is notoriously complex and cumbersome. The curse of dimensionality is a popular way of stigmatizing the whole set of troubles encountered in high-dimensional data analysis; finding relevant projec- tions, selecting meaningful dimensions, and getting rid of noise, being only a few of them. Multi-dimensional data vi- sualization also carries its own set of challenges like, above all, the limited capability of any technique to scale to more than an handful of data dimensions. Searching for interesting patterns in this kind of data can be done through a mixed approach, where the machine based on quality metrics automatically searches through a large number of potentially interesting projections, and the user interactively steers the process and explores the output through visualization.