Data analysis and Information processing

Cover
Title Page
Copyright
DECLARATION
ABOUT THE EDITOR
TABLE OF CONTENTS
List of Contributors
List of Abbreviations
Preface
Section 1: Data Analytics Methods
Chapter 1 Data Analytics in Mental Healthcare
Abstract
Introduction
Literature Review
Mental Illness and its Type
Effects of Mental Health on User Behavior
How Data Science Helps to Predict Mental Illness?
Conclusions
Acknowledgments
References
Chapter 2 Case Study on Data Analytics and Machine Learning Accuracy
Abstract
Introduction
Research Methodology
Cyber-Threat Dataset Selection
Ml Algorithms Selection
Accuracy of Machine Learning
Conclusion
Acknowledgements
References
Chapter 3 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 4 Big Data Analytics for Business Intelligence in Accounting and Audit
Abstract
Introduction
Machine Learning
Data Analytics
Data Visualization
Conclusion
Acknowledgements
References
Chapter 5 Big Data Analytics in Immunology: A Knowledge-Based Approach
Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
Section 2: Big Data Methods
Chapter 6 Integrated Real-Time Big Data Stream Sentiment Analysis Service
Abstract
Introduction
Related Works
Architecture of Big Data Stream Analytics Framework
Sentiment Model
Experiments
Conclusions
Acknowledgements
References
Chapter 7 The Influence of Big Data Analytics in the Industry
Abstract
Introduction
Status Quo Overview
Big-Data Analysis
Conclusions
References
Chapter 8 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
Chapter 9 Big Data for Organizations: A Review
Abstract
Introduction
Big Data for Organizations
Big Data in Organizations and Information Systems
Conclusion
Acknowledgements
References
Chapter 10 Application Research of Big Data Technology in Audit Field
Abstract
Introduction
Overview of Big Data Technology
Requirements on Auditing in the Era of Big Data
Application of Big Data Technology in Audit Field
Risk Analysis of Big Data Audit
Conclusion
References
Section 3: Data Mining Methods
Chapter 11 A Short Review of Classification Algorithms Accuracy for Data Prediction in Data Mining Applications
Abstract
Introduction
Methods in Literature
Results and Discussion
Conclusions and Future Work
References
Chapter 12 Different Data Mining Approaches Based Medical Text Data
Abstract
Introduction
Medical Text Data
Medical Text Data Mining
Discussion
Acknowledgments
References
Chapter 13 Data Mining in Electronic Commerce: Benefits and Challenges
Abstract
Introduction
Data Mining
Some Common Data Mining Tools
Data Mining in E-Commerce
Benefits of Data Mining in E-Commerce
Challenges of Data Mining in E-Commerce
Summary and Conclusion
References
Chapter 14 Research on Realization of Petrophysical Data Mining Based on Big Data Technology
Abstract
Introduction
Analysis of Big Data Mining of Petrophysical Data
Mining Based on K-Means Clustering Analysis
Conclusions
Acknowledgements
References
Section 4: Information Processing Methods
Chapter 15 Application of Spatial Digital Information Fusion Technology in Information Processing of National Traditional Sports
Abstract
Introduction
Related Work
Space Digital Fusion Technology
Information Processing of National Traditional Sports Based on Spatial Digital Information Fusion
Conclusion
References
Chapter 16 Effects of Quality and Quantity of Information Processing on Design Coordination Performance
Abstract
Introduction
Methods
Data Analysis
Discussion
Conclusion
References
Chapter 17 Neural Network Optimization Method and its Application in Information Processing
Abstract
Introduction
Neural Network Optimization Method and its Research in Information Processing
Neural Network Optimization Method and its Experimental Research In Information Processing
Neural Network Optimization Method and its Experimental Research Analysis in Information Processing
Conclusions
Acknowledgments
References
Chapter 18 Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems
Abstract
Introduction
Methods
Results
Discussion
Acknowledgments
References
Index
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