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001445754 001__ 1445754
001445754 003__ OCoLC
001445754 005__ 20230310003848.0
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001445754 008__ 220407s2022\\\\gw\a\\\\o\\\\\100\0\eng\d
001445754 019__ $$a1308394647$$a1308794104$$a1309024987$$a1309049725
001445754 020__ $$a9783658362959$$q(electronic bk.)
001445754 020__ $$a3658362952$$q(electronic bk.)
001445754 020__ $$z9783658362942$$q(print)
001445754 0247_ $$a10.1007/978-3-658-36295-9$$2doi
001445754 035__ $$aSP(OCoLC)1309298486
001445754 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF$$dOCLCQ
001445754 049__ $$aISEA
001445754 050_4 $$aQA76.9.D32
001445754 08204 $$a005.7$$223
001445754 1112_ $$aInternational Data Science Conference$$n(4th :$$d2021 :$$cOnline)
001445754 24510 $$aData science -- analytics and applications :$$bproceedings of the 4th International Data Science Conference -- iDSC2021 /$$cPeter Haber, Thomas J. Lampoltshammer, Helmut Leopold, Manfred Mayr, editors.
001445754 2463_ $$aiDSC 2021
001445754 264_1 $$aWiesbaden, Germany :$$bSpringer Vieweg,$$c2022.
001445754 300__ $$a1 online resource (xiv, 101 pages) :$$billustrations (some color)
001445754 336__ $$atext$$btxt$$2rdacontent
001445754 337__ $$acomputer$$bc$$2rdamedia
001445754 338__ $$aonline resource$$bcr$$2rdacarrier
001445754 5050_ $$aPreface -- An overview of AI solutions "Made in Austria" -- Data boost industry-academia link -- Research Track -- German Abstracts -- Full Papers -- Peer Reviewed - Industry Track -- Abstracts -- Provided Papers -- Non Reviewed.
001445754 506__ $$aAccess limited to authorized users.
001445754 520__ $$aRecent technological advancements in the domains of Artificial Intelligence, Internet of Things and Production 4.0 have generated a fertile ground for plentiful data science investigations. In parallel data science developments have also gained momentum at several industrial settings to support and improve production outputs as well as market performances. The yearly International Data Science Conference (iDSC) 2021, in its fourth edition, virtually presented by AIT Austrian Institute of Technology on 20th an 21st October, therefore followed once more its founding mission, to team scientists and researchers on one hand and industrial practitioners on the other to common discuss the latest data science innovations from a diverse range of research backgrounds and to showcase new implementations from factory shop floors or from sensor driven applications in the field. The six thematic sessions of the conference have been mirroring all the top issues of the data science discipline ranging from challenges in the industrial setting, via Deep and Machine learning methodologies and NLP approaches up to future innovation strategies. While the Research Track had a strong emphasis on Safety and Security matters like Anomaly Detection, Integrity Awareness or Ethical fairness of AI e.g., the Industry Track more made deep reflections on the Scaling of Business models, Infrastructure and Software, the Use of Data Science in SMEs, or the development of Data Ecosystems as an Incubator for Data Innovation. The conference proceedings contain the peer-reviewed full papers of the research track and the corresponding German abstracts as well as short papers from the industry track. The Editors Peter Haber is Assistant Professor of Information and Communication Technology, in particular for analog and digital signal processing, and responsible coordinator for system theory and electrical engineering at Salzburg University of Applied Sciences. He is a researcher and project manager, leading and coordinating national and international projects in the field of IT and IT management, while also integrating data science solutions at businesses. Since 2009 he has been a member of the international advisory board for the IATED conferences. Thomas Lampoltshammer is an Assistant Professor for ICT and Deputy Head of the Centre for E-Governance at the Department of E-Governance and Administration, Danube University Krems, Austria. His current research focus is on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background in the design and implementation of expert and decision-making systems, data analytics, and semantic-based reasoning. Helmut Leopold is the Head of Center for Digital Safety&Security at the AIT Austrian Institute of Technology and is responsible for research areas such as artificial intelligence and cyber security. Prior to AIT, Mr. Leopold was at Alcatel and at Telekom Austria where he played a major role in the digitalization transformation of the organisation. He graduated in computer science from the TU Vienna and holds a PhD from the Lancaster University in England. Manfred Mayr is the Academic Program Director for "Business Informatics and Digital Transformation" as well department head for IT-Management at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of various publications in the field of business informatics and business applications. The digitalisation of ERP applications in the industrial environment is a long-standing and important field of his research. In addition, he has coordinated several national and international research projects.
001445754 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 7, 2022).
001445754 650_0 $$aDatabases$$vCongresses.
001445754 650_0 $$aBig data$$vCongresses.
001445754 650_0 $$aData mining$$vCongresses.
001445754 650_6 $$aDonnées volumineuses$$vCongrès.
001445754 650_6 $$aExploration de données (Informatique)$$vCongrès.
001445754 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445754 655_0 $$aElectronic books.
001445754 7001_ $$aHaber, Peter,$$eeditor.
001445754 7001_ $$aLampoltshammer, Thomas,$$eeditor.
001445754 7001_ $$aLeopold, Helmut,$$d1963-$$eeditor.
001445754 7001_ $$aMayr, Manfred,$$eeditor.
001445754 77608 $$iPrint version:$$aHaber, Peter$$tData Science - Analytics and Applications$$dWiesbaden : Springer Fachmedien Wiesbaden GmbH,c2022
001445754 852__ $$bebk
001445754 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-658-36295-9$$zOnline Access$$91397441.1
001445754 909CO $$ooai:library.usi.edu:1445754$$pGLOBAL_SET
001445754 980__ $$aBIB
001445754 980__ $$aEBOOK
001445754 982__ $$aEbook
001445754 983__ $$aOnline
001445754 994__ $$a92$$bISE