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 |
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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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