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Название: Granular Computing Based Machine Learning: A Big Data Processing Approach
Автор: Han Liu, Mihaela Cocea
Издательство: Springer
Год: 2017
Страниц: 113
Формат: PDF
Размер: 10 Mb
Язык: English
This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs?Volume, Velocity, Variety, Veracity and Variability. The book explores granular computing as a response to the fact that learning tasks have become increasingly more complex due to the vast and rapid increase in the size of data, and that traditional machine learning has proven too shallow to adequately deal with big data.