Big Data Analytics - Methods and Applications

✍ Scribed by Jovan Pehcevski (editor)

• Publisher: Arcler Press
• Year: 2018
• Tongue: English
• Leaves: 430
• Category: Library

✦ Synopsis

Big Data Analytics - Methods and Applications is a comprehensive book that examines various big data modelling and analytics approaches, infrastructure and security issues in analysis of big data, applications of big data in business, finance and management. Provides the readers with insights on methodology and applications of Big Data Analytics so as to understand the practical use of big data analytics along with the opportunities and challenges faced during the course.

✦ Table of Contents

Cover
Half Title Page
Title Page
Copyright Page
Declaration
About the Editor
Table of Contents
List of Contributors
List of Abbreviations
Preface
SECTION I BIG DATA MODELING AND ANALYTICS APPROACHES
Chapter 1 Big Data: Survey, Technologies, Opportunities, and Challenges
Abstract
Introduction
Background
Big Data Management
Life Cycle And Management of Data Using Technologies and Terminologies of Big Data
Opportunities, Open Issues, and Challenges
Conclusion
Acknowledgment
References
Chapter 2 Data Modeling and Data Analytics: A Survey from a Big
Data Perspective
Abstract
Introduction
Data Modeling
Data Analytics
Discussion
Related Work
Conclusions
Acknowledgements
References
Chapter 3 Building A Productive Domain-Specific Cloud For Big Data
Processing And Analytics Service
Abstract
Introduction
Related Work
Seismic Analytics Cloud Implementation
Experiment And Results
Performance Analysis
Future Work And Conclusion
Acknowledgements
References
Chapter 4 Unified Platform For AI and Big Data Analytics
Abstract
Introduction
Idea Extraction Process
Nvidia Artificial Intelligence (AI) Platform
Configuration of Network Between Host and Slave Servers
Creation of Hadoop Cluster on Nvidia AI Platform
Conclusions
Acknowledgements
References
Chapter 5 Semantic Recognition of a Data Structure in Big-Data
Abstract
Introduction
Meta-Information
Semantic Data Profiling Process
Conclusions And Contribution
References
SECTION II INFRASTRUCTURE AND SECURITY ISSUES IN BIG DATA ANALYTICS
Chapter 6 Cloud Computing And Big Data: A Review Of Current Service Models And Hardware Perspectives
Abstract
Introduction
The User Perspective
The Data Perspective
The Hardware Perspective
Summary
References
Chapter 7 Towards The Development Of Best Data Security For Big Data
Abstract
Introduction
Current Data Security For Big Data
Feasibility And Obstacles Of Big Data
The Proposed Security Intelligence Model For Big Data
Review Methodology
Conclusions And Research Indications
References
Chapter 8 Risk Analysis Technique On Inconsistent Interview Big Data
Based On Rough Set Approach
Abstract
Introduction
Data Preprocessing
Usace & Hierarchical Holographic Model Based Investment
Risk Analysis
Result Analysis
Conclusions
References
Chapter 9 Development of Multiple Big Data Analytics Platforms
With Rapid Response
Abstract
Introduction
Related Work In Big Data Processing
System Implementation Method
Experimental Results And Discussion
Conclusion
Acknowledgments
References
SECTION III BIG DATA APPLICATIONS IN BUSINESS, FINANCE AND MANAGEMENT
Chapter 10 Big Data, Big Change: In The Financial Management
Abstract
Introduction To Big Data
Big Data, Big Change: Accounting Data Processing
Big Data, Big Change: Comprehensive Budget Management
Big Data, Big Change: Management Accounting
Big Data, Big Challenge
Acknowledgements
References
Chapter 11 The Mechanism of “Big Data” Impact on Consumer Behavior
Abstract
Introduction
Big Data And Overview of C2C E-Commerce
The Process of Decision-Making in C2C Mode
The Influence Mechanism of Big Data on Consumer Behavior
Conclusion
References
Chapter 12 Non-Intrusive Context Aware Transactional Framework To Derive
Business Insights On Big Data
Abstract
Introduction
Non-Intrusive Context Aware Transactional Framework
Proposed Architecture Frameworks
Report Analysis
Conclusion
References
Chapter 13 Big Data Usage In The Marketing Information System
Abstract
Introduction
The Use Of Information on The Decision-Making Process in Marketing
Big Data
Use of Big Data In The Marketing Information System
Limitations
Final Considerations
References
SECTION IV REAL WORLD APPLICATIONS OF BIG DATA (HEALTHCARE, SMART CITY)
Chapter 14 Big Data Analytics In Healthcare
Abstract
Introduction
Medical Image Processing From Big Data Point Of View
Medical Signal Analytics
Big Data Applications In Genomics
Conclusion
Conflict Of Interests
Authors’ Contribution
Acknowledgment
References
Chapter 15 Big Data Analytics In Immunology: A Knowledge-Based
Approach
Abstract
Introduction
Materials And Methods
Results And Discussion
Conclusions
References
Chapter 16 Using Distributed Data Over Hbase In Big Data
Analytics Platform For Clinical Services
Abstract
Introduction
Methods
Results
Discussion
Limitations And Future Work
Disclosure
Acknowledgments
References
Chapter 17 Big Data Analytics Embedded Smart City Architecture For
Performance Enhancement Through Real-Time Data Processing
And Decision-Making
Abstract
Introduction
Related Work
Proposed Scheme
Results And Data Analysis
Conclusion And Future Work
Acknowledgments
References
Index