World of business with data and analytics / Neha Sharma, Mandar Bhatavdekar, editors.
This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any in...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
2022.
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| Series: | Studies in autonomic, data-driven and industrial computing.
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| Subjects: |
Table of Contents:
- Chapter 1. Dynamic Demand Planning for Distorted Historical Data Due to Pandemic
- Chapter 2. Cognitive Models to Predict Pipeline Leaks and Ruptures
- Chapter 3. Network Optimization of the Electricity Grid to manage Distributed Energy Resources using Data & Analytics
- Chapter 4. Enhancing Market Agility Through Accurate Price Indicators using Contextualized Data Analytics
- Chapter 5. Infrastructure for Automated Surface Damage Classification and Detection in Production industries using ResUNet based Deep Learning Architecture
- Chapter 6. Cardiac Arrhythmias Classification & Detection for Medical Industry Using Wavelet Transformation & Probabilistic Neural Network Architecture
- Chapter 7. Investor Behavior towards Mutual Fund
- Chapter 8. iMask : An Artificial Intelligence Based Redaction Engine
- Chapter 9. Artificial Intelligence for Proactive Vulnerability Prediction and interpretability using Occlusion
- Chapter 10. Intrusion Detection System using Signature based Detection and Data Mining Technique. Chapter 11. Cloud Cost Intelligence using Machine Learning
- Chapter 12. Mining deeper Insights using Unsupervised NLP
- Chapter 13. Explainable AI for ML OPS.