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Granular Computing Based Machine Learning

A Big Data Processing Approach

Han Liu; Mihaela Cocea

978-3-319-70058-8

2018
Edition 1
- Explores the significant role of granular computing 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 involving big data by using biomedical data and sentiment data, and demonstrates recent advances
- Includes supplementary material: sn.pub/extras
€220

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