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...
Κύριοι συγγραφείς: | Liu, Han (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Cocea, Mihaela (http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Studies in Big Data,
35 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Advances in Machine Learning and Data Science Recent Achievements and Research Directives /
Έκδοση: (2018) -
Business Case Analysis with R Simulation Tutorials to Support Complex Business Decisions /
ανά: Brown III, Robert D., κ.ά.
Έκδοση: (2018) -
UX Optimization Combining Behavioral UX and Usability Testing Data to Optimize Websites /
ανά: Tomlin, W. Craig, κ.ά.
Έκδοση: (2018) -
Modern Algorithms of Cluster Analysis
ανά: Wierzchoń, Slawomir, κ.ά.
Έκδοση: (2018) -
Intelligent Methods and Big Data in Industrial Applications
Έκδοση: (2019)