LEADER 02898nam 22004935 450 001 9910483314003321 005 20221011174003.0 010 $a3-030-51870-1 024 7 $a10.1007/978-3-030-51870-7 035 $a(CKB)4100000011401108 035 $a(MiAaPQ)EBC6320893 035 $a(DE-He213)978-3-030-51870-7 035 $a(PPN)258088273 035 $a(EXLCZ)994100000011401108 100 $a20200826d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in data science $emethodologies and applications /$feditors, Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain 205 $a1st edition 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (342 pages) $cillustrations 225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v189 300 $aTOC is available in MS 311 0 $a3-030-51869-8 330 $aBig data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout. 410 0$aIntelligent Systems Reference Library,$x1868-4394 ;$v189 606 $aData mining 606 $aElectronic data processing 615 0$aData mining. 615 0$aElectronic data processing. 676 $a004 702 $aPhillips-Wren$b Gloria E$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEsposito$b Anna$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483314003321 996 $aAdvances in Data Science$92533068 997 $aUNINA