Part A: Expository Briefs
Chapter 1: Shikha Verma_Data Streams
Chapter 2: Pravida Raja_Robust Statistics
Chapter 3: Arnab Kumar Laha_Functional Data Analysis
Chapter 4: Murari Mitra_Reliability Shock Models and Applications
Part B: Artificial Intelligence Applications
Chapter 5: Sandip Pal, Amol A. Bhave and Kingshuk Banerjee_Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters
Chapter 6: Sayan Putatunda_Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children
Chapter 7: Abhishek Khushwaha, Saurav Chakravorty and Paulami Das_Style Scanner - Personalized visual search and recommendation
Chapter 8: Sanjay Thawakar and Vibhu Srivastav_Artificial Intelligence based Cost Reduction for Customer Retention Management in the Indian Life Insurance Industry
Part C: Credit Risk Analytics
Chapter 9: Shreya Piplani and Geetika Bansal_Optimization of Initial Credit Limit using comprehensive customer features
Chapter 10: Aditi Singh and Nishtha Jain_Mitigating Agricultural Lending Risk: An advanced analytical approach
Part D: Analytics and Machine Learning in Retail
Chapter 11: Seinjuti Chatterjee, Ravi Shankar Mishra, Sagar Raichandani and Prasad Joshi_Response prediction and ranking models for large scale E-commerce search
Chapter 12: Akshay Jain, Shrey Jain and Nitin Merh_Application of Association Rule Mining in a clothing Retail Store
Part E: Analytics and Machine Learning in Operations
Chapter 13: Rishabh Agrawal and R. P. Suresh_Improving Blast Furnace Operations using Advanced Analytics
Chapter 14: Kalyani Dacha, Abir Sinha and Ramya Cherukupalli_Food Index Forecasting Chapter 15: R. Sujatha and B. Uma Maheswari_Implementing Learning Analytic Tools in Predicting Students' Performance in a Business School
Part F: New Methodologies
Chapter 16: Atanu Biswas_An optimal Response Adaptive Design for Multi Treatment Clinical Trials with Circular
Responses Chapter 17: Shyamal Ghosh, Priyanka Majumder and Murari Mitra_Stochastic comparisons of systems with heterogeneous log-logistic components
Chapter 18: Biswaroop Mukherjee and Abhishek Halder_Stacking With Dynamic Weights on Base Models
Part G: Applications in Finance and Economics
Chapter 19: Avijit Ghosh, Aditya Chourasiya, Lakshay Bansal and Abhijeet Chandra_Connectedness of Markets with Heterogeneous Agents and the Information Cascades
Chapter 20: Rudra P. Pradhan_Role of Infrastructure and Taxation on Economic Growth of Middle Income Countries
Chapter 21: Stuti Mohan and Swati Verma_Comparative study of different Benchmarking techniques: Evaluating performance of the Indian banking industry
About the Author: Arnab Kumar Laha is Professor of Production and Quantitative Methods (P&QM) at Indian Institute of Management Ahmedabad. He takes a keen interest in understanding how analytics, machine learning, and artificial intelligence can be leveraged to solve complex problems of business and society. He has published his research in national and international journals of repute, authored a popular book on analytics and an edited book volume published by Springer. He has been named as one of the "20 Most Prominent Analytics and Data Science Academicians in India" by Analytics India Magazine in 2018.
