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Visual analytics : towards intelligent interactive internet and security solutions

Visual analytics : towards intelligent interactive internet and security solutions


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DAVEY, James, Florian MANSMANN, Jörn KOHLHAMMER, Daniel KEIM, 2012. Visual analytics : towards intelligent interactive internet and security solutions. In: ÁLVAREZ, Federico, ed., Frances CLEARY, ed., Petros DARAS, ed., John DOMINGUE, ed., Alex GALIS, ed., Ana GARCIA, ed., Anastasius GAVRAS, ed., Stamatis KARNOURSKOS, ed., Srdjan KRCO, ed., Man-Sze LI, ed., Volkmar LOTZ, ed., Henning MÜLLER, ed., Elio SALVADORI, ed., Anne-Marie SASSEN, ed., Hans SCHAFFERS, ed., Burkhard STILLER, ed., Georgios TSELENTIS, ed., Petra TURKAMA, ed., Theodore ZAHARIADIS, ed.. The Future Internet. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 93-104. ISBN 978-3-642-30240-4. Available under: doi: 10.1007/978-3-642-30241-1_9

@inproceedings{Davey2012Visua-22278, title={Visual analytics : towards intelligent interactive internet and security solutions}, year={2012}, doi={10.1007/978-3-642-30241-1_9}, number={7281}, isbn={978-3-642-30240-4}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Computer Science}, booktitle={The Future Internet}, pages={93--104}, editor={Álvarez, Federico and Cleary, Frances and Daras, Petros and Domingue, John and Galis, Alex and Garcia, Ana and Gavras, Anastasius and Karnourskos, Stamatis and Krco, Srdjan and Li, Man-Sze and Lotz, Volkmar and Müller, Henning and Salvadori, Elio and Sassen, Anne-Marie and Schaffers, Hans and Stiller, Burkhard and Tselentis, Georgios and Turkama, Petra and Zahariadis, Theodore}, author={Davey, James and Mansmann, Florian and Kohlhammer, Jörn and Keim, Daniel} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/22278"> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22278/2/Davey_222780.pdf"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/22278"/> <dcterms:rights rdf:resource="https://kops.uni-konstanz.de/page/termsofuse"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-01T12:43:07Z</dc:date> <dc:creator>Keim, Daniel</dc:creator> <dc:contributor>Keim, Daniel</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:title>Visual analytics : towards intelligent interactive internet and security solutions</dcterms:title> <dc:language>eng</dc:language> <dc:rights>terms-of-use</dc:rights> <dcterms:bibliographicCitation>The future internet : from promises to reality / Future Internet Assembly 2012. Federico Álvarez ... (eds.). - Heidelberg [u.a.] : Springer, 2012. - S. 93-104. - (Lecture notes in computer science ; 7281). - ISBN 978-3-642-30240-4</dcterms:bibliographicCitation> <dc:contributor>Davey, James</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/22278/2/Davey_222780.pdf"/> <dc:creator>Mansmann, Florian</dc:creator> <dc:contributor>Kohlhammer, Jörn</dc:contributor> <dc:creator>Davey, James</dc:creator> <dc:creator>Kohlhammer, Jörn</dc:creator> <dcterms:abstract xml:lang="eng">In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of the network infrastructure, but also on the content side. While the term Big Data refers to the increase in available data, this implicitly means that we must deal with problems at a larger scale and thus hints at scalability issues in the analysis of such data sets. Visual Analytics is an enabling technology, that offers new ways of extracting information from Big Data through intelligent, interactive internet and security solutions. It derives its effectiveness both from scalable analysis algorithms, that allow processing of large data sets, and from scalable visualizations. These visualizations take advantage of human background knowledge and pattern detection capabilities to find yet unknown patterns, to detect trends and to relate these findings to a holistic view on the problems. Besides discussing the origins of Visual Analytics, this paper presents concrete examples of how the two facets, content and infrastructure, of the Future Internet can benefit from Visual Analytics. In conclusion, it is the confluence of both technologies that will open up new opportunities for businesses, e-governance and the public.</dcterms:abstract> <dcterms:issued>2012</dcterms:issued> <dc:contributor>Mansmann, Florian</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2013-03-01T12:43:07Z</dcterms:available> </rdf:Description> </rdf:RDF>

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