Skip to main content
SpringerLink
Log in

Applied Advanced Analytics

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

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Arnab Kumar Laha

    1. Production and Quantitative Methods, Indian Institute of Management Ahmedabad, Ahmedabad, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Contains a wealth of case studies and new techniques for a quick understanding of advanced analytics and its applications in the business scenario
  • Comprises of seven diverse themes to ensure a broad coverage of applications
  • Bridges the gap between academic research and practical aspects of analytics with chapters on data streams, binary prediction, reliability shock models, artificial intelligence applications, credit risk analytics, analytics and machine learning among others

Part of the book series: Springer Proceedings in Business and Economics (SPBE)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Machine Learning for Streaming Data: Overview, Applications and Challenges

    • Shikha Verma
    Pages 1-9

  3. Binary Prediction

    • Arnab Kumar Laha
    Pages 11-17

  4. Reliability Shock Models: A Brief Excursion

    • Murari Mitra, Ruhul Ali Khan
    Pages 19-42

  5. Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters

    • Sandip Kumar Pal, Amol A. Bhave, Kingshuk Banerjee
    Pages 43-51

  6. Style Scanner—Personalized Visual Search and Recommendations

    • Abhishek Kushwaha, Saurav Chakravorty, Paulami Das
    Pages 53-59

  7. Artificial Intelligence-Based Cost Reduction for Customer Retention Management in the Indian Life Insurance Industry

    • Sanjay Thawakar, Vibhu Srivastava
    Pages 61-80

  8. Optimization of Initial Credit Limit Using Comprehensive Customer Features

    • Shreya Piplani, Geetika Bansal
    Pages 81-86

  9. Mitigating Agricultural Lending Risk: An Advanced Analytical Approach

    • Aditi Singh, Nishtha Jain
    Pages 87-102

  10. Application of Association Rule Mining in a Clothing Retail Store

    • Akshay Jain, Shrey Jain, Nitin Merh
    Pages 103-114

  11. Improving Blast Furnace Operations Through Advanced Analytics

    • Rishabh Agrawal, R. P. Suresh
    Pages 115-123

  12. Food Index Forecasting

    • Kalyani Dacha, Ramya Cherukupalli, Abir Sinha
    Pages 125-134

  13. Implementing Learning Analytic Tools in Predicting Students’ Performance in a Business School

    • R. Sujatha, B. Uma Maheswari
    Pages 135-146

  14. An Optimal Response-Adaptive Design for Multi-treatment Clinical Trials with Circular Responses

    • Taranga Mukherjee, Rahul Bhattacharya, Atanu Biswas
    Pages 147-156

  15. Stochastic Comparisons of Systems with Heterogeneous Log-Logistic Components

    • Shyamal Ghosh, Priyanka Majumder, Murari Mitra
    Pages 157-173

  16. Stacking with Dynamic Weights on Base Models

    • Biswaroop Mookherjee, Abhishek Halder
    Pages 175-185

  17. The Effect of Infrastructure and Taxation on Economic Growth: Insights from Middle-Income Countries

    • Rudra P. Pradhan
    Pages 187-197

  18. Response Prediction and Ranking Models for Large-Scale Ecommerce Search

    • Seinjuti Chatterjee, Ravi Shankar Mishra, Sagar Raichandani, Prasad Joshi
    Pages 199-218

  19. Connectedness of Markets with Heterogeneous Agents and the Information Cascades

    • Avijit Ghosh, Aditya Chourasiya, Lakshay Bansal, Abhijeet Chandra
    Pages 219-234
Back to top

Keywords

About this book

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.


Editors and Affiliations

  • Production and Quantitative Methods, Indian Institute of Management Ahmedabad, Ahmedabad, India

    Arnab Kumar Laha

About the editor

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation