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001431816 001__ 1431816
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001431816 020__ $$a9783030518707$$q(electronic bk.)
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001431816 0247_ $$a10.1007/978-3-030-51870-7$$2doi
001431816 0248_ $$a10.1007/978-3-030-51
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001431816 049__ $$aISEA
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001431816 24500 $$aAdvances in data science :$$bmethodologies and applications /$$cGloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain, editors.
001431816 264_1 $$aCham :$$bSpringer,$$c[2021]
001431816 264_4 $$c©2021
001431816 300__ $$a1 online resource (xvii, 333 pages)
001431816 336__ $$atext$$btxt$$2rdacontent
001431816 337__ $$acomputer$$bc$$2rdamedia
001431816 338__ $$aonline resource$$bcr$$2rdacarrier
001431816 347__ $$atext file
001431816 347__ $$bPDF
001431816 4901_ $$aIntelligent systems reference library,$$x1868-4394 ;$$v189
001431816 504__ $$aIncludes bibliographical references.
001431816 50500 $$tIntroduction to Big Data and Data Science: Methods and Applications --$$tTowards Abnormal Behavior Detection of Elderly People Using Big Data --$$tA Survey on Automatic Multimodal Emotion Recognition in the Wild --$$t"Speech Melody and Speech Content Didn't Fit Together"--Differences in Speech Behavior for Device Directed and Human Directed Interactions --$$tMethods for Optimizing Fuzzy Inference Systems --$$tThe Dark Side of Rationality. Does Universal Moral Grammar Exist? --$$tA New Unsupervised Neural Approach to Stationary and Non-stationary Data --$$tFall Risk Assessment Using New sEMG-Based Smart Socks --$$tDescribing Smart City Problems with Distributed Vulnerability --$$tFeature Set Ensembles for Sentiment Analysis of Tweets --$$tSupporting Data Science in Automotive and Robotics Applications with Advanced Visual Big Data Analytics --$$tClassification of Pilot Attentional Behavior Using Ocular Measures --$$tAudio Content-Based Framework for Emotional Music Recognition --$$tNeuro-Kernel-Machine Network Utilizing Deep Learning and Its Application in Predictive Analytics in Smart City Energy Consumption --$$tLearning Approaches for Facial Expression Recognition in Ageing Adults: A Comparative Study.
001431816 506__ $$aAccess limited to authorized users.
001431816 520__ $$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.
001431816 650_0 $$aElectronic data processing.
001431816 650_0 $$aData mining.
001431816 650_6 $$aExploration de données (Informatique)
001431816 655_0 $$aElectronic books.
001431816 7001_ $$aPhillips-Wren, Gloria E.
001431816 7001_ $$aEsposito, Anna.
001431816 7001_ $$aJain, L. C.
001431816 77608 $$iPrint version:$$z3030518698$$z9783030518691$$w(OCoLC)1156989326
001431816 830_0 $$aIntelligent systems reference library ;$$vv. 189.
001431816 852__ $$bebk
001431816 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-51870-7$$zOnline Access$$91397441.1
001431816 909CO $$ooai:library.usi.edu:1431816$$pGLOBAL_SET
001431816 980__ $$aBIB
001431816 980__ $$aEBOOK
001431816 982__ $$aEbook
001431816 983__ $$aOnline
001431816 994__ $$a92$$bISE