World of Business with Data and Analytics

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 981195688X
• ISBN13: 9789811956881
• Release Date: September 2022
• Publisher: Springer
• Length: 201 Pages
• Weight: 1.07 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"