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*                          Einladung
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*                     Informatik-Oberseminar
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Zeit:        Montag, 13.03.2023, 15:00-16:00 Uhr
 
Der öffentliche Vortrag findet hybrid statt:
 
Raum:     Raum 5053.2 (großer B-IT-Hörsaal)/Informatikzentrum, Ahornstraße 55

Zoom:  https://rwth.zoom.us/j/94314167045?pwd=VWt3TTUrUjQrbTRQcDUzYm8yMVcydz09

Meeting-ID: 943 1416 7045

Kenncode: 239326

Referent:     Herr Arnab Chakrabarti, M. Sc.
                      Lehrstuhl Informatik 5
 

Thema:        Exploratory Pipeline for Analysis and Visualization of Large Information Spaces

 
Abstract:

Visual exploration of datasets having excessive data points and features leads to over-plotting and visual clutter, resulting in the loss of interpretability. This problem has been termed as “visual noise” in the field of high-dimensional data exploration. Our work in this thesis centers around the question of reducing visual noise and improving data interpretability in the quest to find interesting patterns within high-dimensional datasets.

In this thesis, we present algorithms and workflows to tackle the so-called “curse-of-dimensionality”. We proposed a visualization ranking model capable of comparing diverse visual structures within a unified framework. Finally, we present a novel visualization recommendation system capable of the process of generating meaningful visualizations that help users to explore and understand their data more efficiently.

To evaluate the effectiveness of our solutions in a high-dimensional setting, we present a data exploration pipeline and test it within the Internet of Production (IoP) settings.

 
Es laden ein: die Dozentinnen und Dozenten der Informatik

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Leany Maaßen

RWTH Aachen University

Lehrstuhl Informatik 5, LuFG Informatik 5

Prof. Dr. Stefan Decker, Prof. Dr. Matthias Jarke,

Prof. Gerhard Lakemeyer Ph.D., JunProf. Dr. Sandra Geisler

Ahornstrasse 55

D-52074 Aachen

Tel: 0241-80-21509

Fax: 0241-80-22321

E-Mail: maassen@dbis.rwth-aachen.de