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dc.contributor.editorBrito, Paula
dc.contributor.editorDias, José G.
dc.contributor.editorLausen, Berthold
dc.contributor.editorMontanari, Angela
dc.contributor.editorNugent, Rebecca
dc.date.accessioned2023-12-13T10:35:47Z
dc.date.available2023-12-13T10:35:47Z
dc.date.issued2023
dc.identifierONIX_20231213_9783031090349_4
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/86098
dc.description.abstractThe contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.
dc.languageEnglish
dc.relation.ispartofseriesStudies in Classification, Data Analysis, and Knowledge Organization
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UF Business applications::UFM Mathematical & statistical software
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UN Databases::UNF Data mining
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PB Mathematics::PBT Probability & statistics
dc.subject.otherClassification
dc.subject.otherData Science
dc.subject.otherClustering
dc.subject.otherStatistical Learning
dc.subject.otherMachine Learning
dc.subject.otherData Analysis
dc.subject.otherMutlivariate Analysis
dc.subject.otherStatistical Inference
dc.subject.otherDimension Reduction
dc.subject.otherFunctional Data Analysis
dc.subject.otherTime Series Analysis
dc.subject.otherNetwork Analysis
dc.titleClassification and Data Science in the Digital Age
dc.typebook
oapen.identifier.doi10.1007/978-3-031-09034-9
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy06217aaf-d965-40ef-a13f-f68d59c94b9a
oapen.relation.isbn9783031090349
oapen.relation.isbn9783031090332
oapen.imprintSpringer International Publishing
oapen.pages416
oapen.place.publicationCham
oapen.grant.number[...]


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