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dc.contributor.editorKakulapati, Vijayalakshmi
dc.date.accessioned2022-07-27T08:16:38Z
dc.date.available2022-07-27T08:16:38Z
dc.date.issued2022
dc.identifierONIX_20220727_9781839683169_137
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/90241
dc.description.abstractOpen data is freely usable, reusable, or redistributable by anybody, provided there are safeguards in place that protect the data’s integrity and transparency. This book describes how data retrieved from public open data repositories can improve the learning qualities of digital networking, particularly performance and reliability. Chapters address such topics as knowledge extraction, Open Government Data (OGD), public dashboards, intrusion detection, and artificial intelligence in healthcare.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrievalen_US
dc.subject.otherInformation retrieval
dc.titleOpen Data
dc.typebook
oapen.identifier.doi10.5772/intechopen.94663
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839683169
oapen.relation.isbn9781839683152
oapen.relation.isbn9781839683176
oapen.imprintIntechOpen
oapen.pages94


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