Big Data Analytics: Systems, Algorithms, Applications

• Κύριοι συγγραφείς: Prabhu, C.S.R (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Chivukula, Aneesh Sreevallabh (http://id.loc.gov/vocabulary/relators/aut), Mogadala, Aditya (http://id.loc.gov/vocabulary/relators/aut), Ghosh, Rohit (http://id.loc.gov/vocabulary/relators/aut), Livingston, L.M. Jenila (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Big data.; Data mining.; Big Data.; Data Mining and Knowledge Discovery.

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers det...

Πίνακας περιεχομένων:

• Big Data
• Intelligent Systems
• Analytics Models for Data Science
• Big Data Tools - Hadoop Eco System
• Predictive Modeling for Unstructured Data
• Machine Learning Algorithms for Big Data
• Social Semantic Web Mining and Big Data Analytics
• Internet of Things (IoT) and Big Data Analytics
• Big Data Analytics for Financial and Services Banking
• Big Data Analytics Techniques in Capital Market Use Cases.