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