Applied Machine Learning for Smart Data Analysis

Inbunden, Engelska, 2019

Av Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan, Kolkata) Dey, Nilanjan (JIS University, India) Wagh, Sanjeev (Department of Information Technology, Government College of Engineering, Karad, Pune) Mahalle, Parikshit N. (VIIT, INDIA) Pathan, Mohd. Shafi (Department of Computer Engineering, Smt Kashibai Navale College of Engineering, Vadgaon(Bk), Pune

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The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications

Produktinformation

Utgivningsdatum2019-06-05
Mått156 x 234 x 16 mm
Vikt520 g
FormatInbunden
SpråkEngelska
SerieComputational Intelligence in Engineering Problem Solving
Antal sidor244
FörlagTaylor & Francis Ltd
ISBN9781138339798

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