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Advances in Intelligent Data Analysis XVIII

18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings

dc.contributor.editorBerthold, Michael
dc.contributor.editorFeelders, Ad
dc.contributor.editorKrempl, Georg
dc.date.accessioned2021-02-10T13:54:25Z
dc.date.available2021-02-10T13:54:25Z
dc.date.issued2020
dc.date.submitted2020-05-13T14:21:44Z
dc.identifierONIX_20200513_9783030445843_20
dc.identifierONIX_20200513_9783030445843_20
dc.identifierOCN: 1152546944
dc.identifierhttp://library.oapen.org/handle/20.500.12657/37720
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/31898
dc.description.abstractThis open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
dc.languageEnglish
dc.relation.ispartofseriesLecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data miningen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UB Information technology: general topicsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learningen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communicationsen_US
dc.subject.otherDatabase Management
dc.subject.otherData Mining and Knowledge Discovery
dc.subject.otherComputing Milieux
dc.subject.otherMachine Learning
dc.subject.otherComputer Systems Organization and Communication Networks
dc.subject.otheropen access
dc.subject.otherdata mining
dc.subject.otherlearning systems
dc.subject.otherclassification
dc.subject.otherclustering
dc.subject.othersemantics
dc.subject.otherlearning algorithms
dc.subject.othersupervised learning
dc.subject.otherassociation rules
dc.subject.othersocial networks
dc.subject.othergraphic methods
dc.subject.otherneural networks
dc.subject.otherartificial intelligence
dc.subject.othercomputer vision
dc.subject.othercorrelation analysis
dc.subject.otherdatabases
dc.subject.othereducation
dc.subject.otherengineering
dc.subject.othergraph theory
dc.subject.otherimage analysis
dc.subject.otherDatabases
dc.subject.otherDatabase programming
dc.subject.otherData mining
dc.subject.otherExpert systems / knowledge-based systems
dc.subject.otherInformation technology: general issues
dc.subject.otherMachine learning
dc.subject.otherComputer networking & communications
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UN Databases
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.titleAdvances in Intelligent Data Analysis XVIII
dc.title.alternative18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings
dc.typebook
oapen.identifier.doi10.1007/978-3-030-44584-3
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.imprintSpringer
oapen.pages588
oapen.place.publicationCham
dc.seriesnumber12080


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open access
Except where otherwise noted, this item's license is described as open access