Applied Machine Learning for Smart Data Analysis Contributor(s): Dey, Nilanjan (Editor), Wagh, Sanjeev (Editor), Mahalle, Parikshit N. (Editor) |
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ISBN: 1138339792 ISBN-13: 9781138339798 Publisher: CRC Press
Binding Type: Hardcover - See All Available Formats & Editions Published: May 2019 Click for more in this series: Computational Intelligence in Engineering Problem Solving |
Additional Information |
BISAC Categories: - Computers | Databases - Data Mining - Computers | Machine Theory - Technology & Engineering | Electronics - General |
Dewey: 006.312 |
LCCN: 2018033217 |
Series: Computational Intelligence in Engineering Problem Solving |
Physical Information: 244 pages |
Features: Bibliography, Index |
Descriptions, Reviews, Etc. |
Publisher Description: 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 Features
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