CRESS talk - Interactive Data Visualization through Inductive Aggregation

Speaker: Piotr Lasek, University Rzeszów, Poland

  • 7.4.2017, 12:15 - 13:00

 

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Speaker: Piotr Lasek, University Rzeszów, Poland
Title: Interactive Data Visualization through Inductive Aggregation
When and where: Friday the 7th of April, in room M113 at 12:15

Abstract: In today's world, interactive visualization of large data is a must.
Since the very beginning, filtering, sampling and aggregation were the three
basic ways of dealing with large amounts of data. All of those methods helped
and still help to squeeze a large number of objects into a limited number of pixels on
a computer's screen. Among those three, the aggregation however, seems to be
the most meaningful way of preprocessing data for visualization. Thus, the
aggregation, specifically so-called inductive aggregation, became the matter of
our research. During the presentation we will present the architecture of our
prototype visualization called Skydive and try to explain:
- why the inductive aggregation may be useful for data visualization (in terms
  of efficiency and meaningfulness),
- why it is not that obvious which aggregation function could be used as data
  aggregation function,
- how graphical channels paucity problem could be addressed by using modern
  graphics cards capabilities.

Bio: Piotr Lasek is currently an Assistant Professor at the University Rzeszów, Poland.
He obtained his PhD at the Warsaw University of Technology in the field
of data mining - his thesis was devoted to efficient density-based data clustering.
Over the past 2 years he was a Postdoctoral Fellow with the Database Laboratory
at York University, Toronto working on efficient data visualization methods
employing the concept of inductive aggregation.
His current research interests span both interactive data exploration through
visualization as well as density-based clustering with constraints.