02337oam 2200661M 450 991052488570332120241120175442.00-262-34605-29780262346047(CKB)4330000002049883(CaBNVSL)mat08327692(IDAMS)0b00006487b95bf9(IEEE)8327692(OCoLC)1042908181(OCoLC)1088994598(OCoLC-P)1042908181(MaCbMITP)10654(OCoLC)1042908181(MdBmJHUP)muse70605(MiAaPQ)EBC5340082(oapen)https://directory.doabooks.org/handle/20.500.12854/78554(PPN)254843506(oapen)doab78554(EXLCZ)99433000000204988320180605d2018 uy 0engur|n|||||||||rdacontentisbdmediardacarrierMachine learning for data streams with practical examples in MOA /Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard PfahringerCambridgeThe MIT Press2018[Piscataqay, New Jersey] :IEEE Xplore,[2018]Cambridge, Massachusetts ; London, EnglandThe MIT Press[2017]1 PDF (xxi, 262 pages) illustrationsAdaptive computation and machine learning0-262-03779-3 0-262-34604-4 Includes bibliographical references and index.A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Adaptive computation and machine learningDatabase managementNeural networks (Computer science)Machine learningDatabase management.Neural networks (Computer science)Machine learning.006.3/12Bifet Albert1167471Gavaldà Ricard1964-Holmes GeoffPfahringer BernhardMIT Press,OCoLC-POCoLC-PBOOK9910524885703321Machine Learning for Data Streams2719505UNINA