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Big Data Analytics: Systems, Algorithms, Applications

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...

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Bibliographic Details
Main Authors: Prabhu, C.S.R., Chivukula, Aneesh Sreevallabh (Author), Mogadala, Aditya (Author), Ghosh, Rohit (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2019, 2019
Edition:1st ed. 2019
Subjects:
Big Data
Data Mining
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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