Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence

Author:   Arnab Kumar Laha
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789813366589


Pages:   234
Publication Date:   10 June 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $388.10 Quantity:  
Add to Cart

Share |

Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence


Add your own review!

Overview

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams,  binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI,  personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

Full Product Details

Author:   Arnab Kumar Laha
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.379kg
ISBN:  

9789813366589


ISBN 10:   9813366583
Pages:   234
Publication Date:   10 June 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

Reviews

Author Information

"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."

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

ls

Shopping Cart
Your cart is empty
Shopping cart
Mailing List