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Combining Linked Matrix Visualizations with Multi-Dimensional Clustering to Detect Cybercrime : Poster

Davey, James ; Hutter, Marco ; May, Thorsten ; Kohlhammer, Jörn (2012)
Combining Linked Matrix Visualizations with Multi-Dimensional Clustering to Detect Cybercrime : Poster.
International Workshop on Visual Analytics (EuroVA). Wien (04.06.2012-05.06.2012)
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Our goal is to find a useful multi-dimensional clustering (MDC) of a data set from the network security domain. Algorithms from the Multi-Criteria Decision Analysis (MCDA) domain are used for the calculation of fused similarity matrices, in which the information from several dimensions are combined. However, the results of MCDA algorithms are often difficult to interpret. We present a linked, interactive, matrix-based visualization which simplifies the comparison of clusters and increases the understanding of MCDA results.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2012
Autor(en): Davey, James ; Hutter, Marco ; May, Thorsten ; Kohlhammer, Jörn
Art des Eintrags: Bibliographie
Titel: Combining Linked Matrix Visualizations with Multi-Dimensional Clustering to Detect Cybercrime : Poster
Sprache: Englisch
Publikationsjahr: 2012
Ort: Wien
Veranstaltungstitel: International Workshop on Visual Analytics (EuroVA)
Veranstaltungsort: Wien
Veranstaltungsdatum: 04.06.2012-05.06.2012
Kurzbeschreibung (Abstract):

Our goal is to find a useful multi-dimensional clustering (MDC) of a data set from the network security domain. Algorithms from the Multi-Criteria Decision Analysis (MCDA) domain are used for the calculation of fused similarity matrices, in which the information from several dimensions are combined. However, the results of MCDA algorithms are often difficult to interpret. We present a linked, interactive, matrix-based visualization which simplifies the comparison of clusters and increases the understanding of MCDA results.

Freie Schlagworte: Business Field: Visual decision support, Research Area: Generalized digital documents, Network security, Information visualization, Visual analytics, Cluster analysis
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 12 Nov 2018 11:16
Letzte Änderung: 18 Mär 2021 12:31
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