BANKSAFE : Visual analytics for big data in large-scale computer networks


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FISCHER, Fabian, Johannes FUCHS, Florian MANSMANN, Daniel A. KEIM, 2015. BANKSAFE : Visual analytics for big data in large-scale computer networks. In: Information Visualization. 14(1), pp. 51-61. ISSN 1473-8716. eISSN 1473-8724. Available under: doi: 10.1177/1473871613488572

@article{Fischer2015BANKS-26225, title={BANKSAFE : Visual analytics for big data in large-scale computer networks}, year={2015}, doi={10.1177/1473871613488572}, number={1}, volume={14}, issn={1473-8716}, journal={Information Visualization}, pages={51--61}, author={Fischer, Fabian and Fuchs, Johannes and Mansmann, Florian and Keim, Daniel A.} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Keim, Daniel A.</dc:contributor> <dspace:isPartOfCollection rdf:resource=""/> <dc:date rdf:datatype="">2014-02-04T14:34:58Z</dc:date> <bibo:uri rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource=""/> <dcterms:title>BANKSAFE : Visual analytics for big data in large-scale computer networks</dcterms:title> <dc:language>eng</dc:language> <dc:contributor>Fuchs, Johannes</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dc:contributor>Mansmann, Florian</dc:contributor> <dcterms:issued>2015</dcterms:issued> <dc:creator>Mansmann, Florian</dc:creator> <dcterms:abstract xml:lang="eng">The enormous growth of data in the last decades led to a wide variety of different database technologies. Nowadays, we are capable of storing vast amounts of structured and unstructured data. To address the challenge of exploring and making sense out of big data using visual analytics, the tight integration of such backend services is needed. In this article, we introduce BANKSAFE, which was built for the VAST Challenge 2012 and won the outstanding comprehensive submission award. BANKSAFE is based on modern database technologies and is capable of visually analyzing vast amounts of monitoring data and security-related datasets of large-scale computer networks. To better describe and demonstrate the visualizations, we utilize the Visual Analytics Science and Technology (VAST) Challenge 2012 as case study. Additionally, we discuss lessons learned during the design and development of BANKSAFE, which are also applicable to other visual analytics applications for big data.</dcterms:abstract> <dcterms:hasPart rdf:resource=""/> <dc:creator>Fuchs, Johannes</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Fischer, Fabian</dc:creator> <dc:rights>terms-of-use</dc:rights> <dspace:hasBitstream rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dcterms:available rdf:datatype="">2014-02-04T14:34:58Z</dcterms:available> <dc:contributor>Fischer, Fabian</dc:contributor> </rdf:Description> </rdf:RDF>

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