02898nam 22004935 450 991048331400332120221011174003.03-030-51870-110.1007/978-3-030-51870-7(CKB)4100000011401108(MiAaPQ)EBC6320893(DE-He213)978-3-030-51870-7(PPN)258088273(EXLCZ)99410000001140110820200826d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in data science methodologies and applications /editors, Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain1st edition 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (342 pages) illustrationsIntelligent Systems Reference Library,1868-4394 ;189TOC is available in MS3-030-51869-8 Big 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.Intelligent Systems Reference Library,1868-4394 ;189Data miningElectronic data processingData mining.Electronic data processing.004Phillips-Wren Gloria Eedthttp://id.loc.gov/vocabulary/relators/edtEsposito Annaedthttp://id.loc.gov/vocabulary/relators/edtJain Lakhmi Cedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483314003321Advances in Data Science2533068UNINA