Applications of Machine Learning in Big-Data Analytics and Cloud Computing
- 346 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Applications of Machine Learning in Big-Data Analytics and Cloud Computing
About this book
Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions.
This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.
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Information
Table of contents
- Cover Page
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- List of Contributors
- List of Figures
- List of Tables
- List of Abbreviations
- 1 Pattern Analysis of COVID-19 Death and Recovery Cases Data of Countries Using Greedy Biclustering Algorithm
- 2 Artificial Fish Swarm Optimization Algorithm with Hill Climbing Based Clustering Technique for Throughput Maximization in Wireless Multimedia Sensor Network
- 3 Analysis of Machine Learning Techniques for Spam Detection
- 4 Smart Sensor Based Prognostication of Cardiac Disease Prediction Using Machine Learning Techniques
- 5 Assimilate Machine Learning Algorithms in Big Data Analytics: Review
- 6 Resource Allocation Methodologies in Cloud Computing: A Review and Analysis
- 7 Role of Machine Learning in Big Data
- 8 Healthcare System for COVID-19: Challenges and Developments
- 9 An Integrated Approach of Blockchain & Big Data in Health Care Sector
- 10 Cloud Resource Management for Network Cameras
- 11 Software-Defined Networking for Healthcare Internet of Things
- 12 Cloud Computing in the Public Sector: A Study
- 13 Big Data Analytics: An overview
- 14 Video Usefulness Detection in Big Surveillance Systems
- Index
- About the Editors