The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods, applications, and tools in data science. The chapters in the book add a social, geographical, and temporal dimension to data science research. The papers included are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications.
Author(s): Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
Series: Studies in Big Data, 114
Publisher: Springer
Year: 2022
Language: English
Pages: 198
City: Singapore
Preface
Acknowledgments
Contents
About the Editors
Cloud GIS Model for Coastal Geospatial Big Data Analytics
1 Introduction
2 Related Works
3 Need for Cloud GIS Model for Coastal Information Infrastructure Network
4 Objective of Present Study
5 Proposed Architecture of Cloud GIS Model
5.1 Methodology Implemented
5.2 Module Integrations
6 Results and Discussions
7 Conclusions
References
Appealing AI in Appalling Covid-19 Crisis and the Impending
1 Introduction
2 Covid-19: The Key Observations and Learnings
3 Proposed Solution
4 Solution Architecture
4.1 Point Process Modeling: Hawkes Process
4.2 Label Propagation Algorithm
4.3 Framework Modeling
5 Conclusion
References
Role of Data Science in Programmatic Advertising
1 Introduction
2 Overview of the Advertising Industry
3 RTB—Real-Time Bidding (Based on Game Theory) and Second Price Auction
4 Data Available in Programmatic Advertising
5 Structuring Programmatic Advertising as a Data Science Problem
6 Application of Programmatic Advertising to Solve Industry Challenges
7 Digital Advertising and Fraud
References
Social Development Data and Societal Modelling: A Study in Indian Context
1 Introduction
2 Review of Literature
3 Mahalanobis Distance Statistics
4 Role of Social Statistical Information and Development Models
5 Sources of Social Statistics
6 Social Support System and Regional Safety Status: A Case Study of Odisha Districts
7 Development of Social Security Status of Districts
8 Conceptual Model for Constructing Family Wellbeing Model
9 Conclusion
References
Deep Learning Trends and Inspired Systems in Natural Language Processing
1 Introduction
2 Word Embeddings
2.1 Embedding Models
3 Neural Mechanisms and Attention
3.1 Recurrent Neural Networks
3.2 Convolutional Neural Networks
3.3 Attention Mechanism
4 Transformers
5 Other Works
6 Future Scope and Conclusion
References
AI and IoT Enabled Smart Hospital Management Systems
1 Introduction
2 Literature Review
3 Contribution
4 Evolution of Artificial Intelligence
5 Challenges Faced by Artificial Intelligence
6 Evolution of Internet of Things
7 Challenges Faced by the Internet of Things
8 Smart Hospital Management System
9 Conclusion
References
Optimization in Agricultural Growth Using AI and Satellite Imagery
1 Introduction
1.1 Artificial Intelligence and Satellite Imagery
1.2 Agriculture Industry: Life Cycle
2 Challenges Faced by Farmers in Traditional Methods of Farming
3 Artificial Intelligence and Satellite Imagery in Agriculture
3.1 Crop Yield Prediction with AI and Machine Learning
3.2 Visibility and Control of Crop Yields
3.3 Soil Nutrient Depletion
3.4 Small Landholdings Due to Dense Population
3.5 Impact of Floods and Natural Disasters
4 Tools and Techniques for Optimization in Agricultural Growth
5 Conclusion
References
Plenus Solutionem: A Complete Solution to Multi Chronic Diseases Detection and Classification
1 Introduction
2 Literature Survey
3 The Datasets Explained
4 The Core Machine Learning Pipeline
5 Conclusion
References
Kochen Helfer: An AI-Based Cooking Assistant
1 Introduction
1.1 Intuition Behind the Proposed Product
1.2 Answering the Why
2 Associated Publications
2.1 AI in Real-Life World
2.2 AI in Smart Kitchen Appliance
2.3 AI in Everyday Cooking
3 Value Perspective
3.1 Need of the Product—A Helping Hand
3.2 User Persona
4 Proposed Architecture
4.1 High-Level Architecture
4.2 Data Requirement and Gathering
4.3 Data Sanity and Preprocessing
4.4 Model Building
4.5 Model Testing
4.6 Model Deployment
5 User Interaction Interface
5.1 Log In View
5.2 Homepage View
5.3 Recipe Selection and Uploads View
5.4 Results View
6 Conclusion
7 Future Work
References
Contemporary Digital Consumers: “Real” Versus Virtual Value Co-creation
1 Introduction
2 Digitalization and Digital Consumers
3 Service-Dominant Logic and Value Co-creation
4 Specificity of Virtual Value Co-creation
4.1 Co-presence
4.2 Automatisation
4.3 Simulation
4.4 Playfulness
4.5 Antagonism
5 Summary of Digital Value Co-creation
6 Conclusions
References
Multiclass Prediction of Heart Disease Patients Using Big Data Analytics
1 Introduction
2 Literature Review
3 Method and Materials
3.1 Dataset Description
3.2 Algorithms Used
4 Experimental Results
5 Conclusion
References
