OWLAP - using OLAP approach in anomaly detection

Dudás, László and Fekete, Zsolt and Göbölös-Szabó, Júlia and Radnai, András and Salánki, Á and Szabó, Adrienn and Szűcs, Gábor (2012) OWLAP - using OLAP approach in anomaly detection. In: IEEE Conference on Visual analytics Science and Technology 2012, 2012-10-14 - 2012-10-19, Seattle, Amerikai Egyesült Államok. 10.1109/VAST.2012.6400523

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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.

Item Type: Conference or Workshop Item (-)
Additional Information: #Könyv Szerző ismeretlen
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: ?? R104a ??
Depositing User: EPrints Admin
Date Deposited: 18 Feb 2013 14:00
Last Modified: 05 Feb 2014 12:28
URI: http://eprints.sztaki.hu/id/eprint/6892

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