03208nam 2200901z- 450 991058021110332120220706(CKB)5690000000011977(oapen)https://directory.doabooks.org/handle/20.500.12854/87513(oapen)doab87513(EXLCZ)99569000000001197720202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierPrinciples and Applications of Data ScienceBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (168 p.)3-0365-4527-1 3-0365-4528-X Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on "Principles and Applications of Data Science" focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media.History of engineering and technologybicsscTechnology: general issuesbicsscair pollutionbehaviour networkbehaviour sequence patternclassificationcombined classification modelconvolutional neural networkcorpus datacrop production predictiondata miningdeep learningdeep transfer learningdictionarydigitizationelectronic health recordsfair exchangefeature fusionfine-tuningfocal-segmentalforward secrecygraph neural networkimage classificationInternet of Thingskidney diseasekidney glomerulilexical datalinguistic linked open datamedical imageminingmobile applicationneuro-fuzzypeasant farmingPM10PM2.5prediction modelpredictive analyticsraw materialsclerosed glomeruliself-attention mechanismsimilar user recommendationsmart farming systemsupervisedterminologyterminology applicationuser preference learningwater crystalHistory of engineering and technologyTechnology: general issuesLiu Chuan-Mingedt1304520Liu Chuan-MingothBOOK9910580211103321Principles and Applications of Data Science3027520UNINA