DocumentCode :
2796295
Title :
OWLAP — Using OLAP approach in anomaly detection: Award: Good support for the data preparation, analysis, and presentation process
Author :
Dudas, Levente ; Fekete, Zs. ; Gobolos-Szabo, J. ; Radnai, A. ; Salanki, A. ; Szabo, Aron ; Szucs, G.
Author_Institution :
Computer and Automation Research Institute (MTA SZTAKI), Hungarian Academy of Sciences
fYear :
2012
fDate :
14-19 Oct. 2012
Firstpage :
267
Lastpage :
268
Abstract :
OWLAP (Operative Workbench for Large-scale Analytics and Presentation) is a visual analytics tool that allows the user to browse and drill down the multidimensional data on-line with the possibility to export result into a zooming presentation framework. We address the challenges of multidimensional visualization by aiding the cognitively hard task of understanding attributes, finding patterns and outliers. We successfully solved the challenge of real time Big Data OLAP reporting by a home developed multithreaded inmemory database manager. Our additional focus is the automatic management of summary preparation that we aid by scripting the presentation framework of Prezi Inc.
Keywords :
H.2.1 [Information Systems]: Database Management — Logical Design; H.5.2 [Information Systems]: Information Interfaces and Presentation — User Interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4752-5
Type :
conf
DOI :
10.1109/VAST.2012.6400523
Filename :
6400523
Link To Document :
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