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Granular Computing Based Machine Learning: A Big Data Processing Approach
Hardcover
Series: Studies in Big Data, Book 35
Business GeneralDatabasesGeneral Computers
ISBN13: 9783319700571
Publisher: Springer Nature
Published: Nov 23 2017
Pages: 113
Weight: 0.80
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
Explores how granular computing plays a significant role in advancing machine learning towards in-depth processing of big data
Introduces the main characteristics of big data, i.e. the five Vs--Volume, Velocity, Variety, Veracity, and Variability
Presents popular types of traditional machine learning in terms of their key features and limitations in the context of big data
Discusses the need for and different uses of granular computing based machine learning
Presents several case studies of big data by using biomedical data and sentiment data, demonstrating recent advances
Stresses the theoretical significance, practical importance, methodological impact, and philosophical aspectsAlso in
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