Loading…
Granular Computing Based Machine Learning A Big Data Processing Approach /
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 comput...
Main Authors: | Liu, Han (Author), Cocea, Mihaela (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
Edition: | 1st ed. 2018. |
Series: | Studies in Big Data,
35 |
Subjects: | |
Online Access: | Full-text access |
Similar Items
-
Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Published: (Springer Nature Singapore : Imprint: Springer, 2018.) -
Modern Algorithms of Cluster Analysis
by: Wierzchoń, Slawomir, et al.
Published: (Springer International Publishing : Imprint: Springer, 2018.) -
Intelligent Methods and Big Data in Industrial Applications
Published: (Springer International Publishing : Imprint: Springer, 2019.) -
Innovations in Big Data Mining and Embedded Knowledge
Published: (Springer International Publishing : Imprint: Springer, 2019.) -
Big Data Processing Using Spark in Cloud
Published: (Springer Nature Singapore : Imprint: Springer, 2019.)