03191nam 2200889z- 450 991058021110332120231214133013.0(CKB)5690000000011977(oapen)https://directory.doabooks.org/handle/20.500.12854/87513(EXLCZ)99569000000001197720202207d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierPrinciples and Applications of Data ScienceBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic 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.Technology: general issuesbicsscHistory of engineering & technologybicsscdeep learninguser preference learningfeature fusionsimilar user recommendationconvolutional neural networkimage classificationelectronic health recordsfair exchangeforward secrecyraw materialminingterminologydictionaryterminology applicationmobile applicationdigitizationlexical datacorpus datalinguistic linked open dataneuro-fuzzyprediction modelair pollutionPM2.5PM10self-attention mechanismgraph neural networkdata miningbehaviour sequence patternbehaviour networkwater crystalfine-tuningsupervisedclassificationcombined classification modeldeep transfer learningfocal-segmentalkidney diseasekidney glomerulimedical imagesclerosed glomerulipredictive analyticsInternet of Thingspeasant farmingsmart farming systemcrop production predictionTechnology: general issuesHistory of engineering & technologyLiu Chuan-Mingedt1304520Liu Chuan-MingothBOOK9910580211103321Principles and Applications of Data Science3027520UNINA