Applied advanced analytics: 6th IIMA international conference on advanced data analysis, business analytics and intelligence

Contributor(s): Laha, Arnab Kumar [Editor]
Material type: TextTextSeries: Springer proceedings in business and economicsPublisher: Singapore Springer 2021Description: ix, 234 p.: col. ill. Includes bibliographical referencesISBN: 9789813366558Subject(s): Business - Data processing - Congresses | Artificial intelligence applications | Shock models on reliability | Credit risk analytics | Operations management analyticsDDC classification: FP 658.05 Summary: This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts. 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. https://link.springer.com/book/10.1007/978-981-33-6656-5#about
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Non-fiction FP 658.05 A7 (Browse shelf) Pending hold 204385
Books Vikram Sarabhai Library
On Display
Non-fiction FP 658.05 A7 (Browse shelf) Pending hold 204385

Table of Contents

Machine Learning for Streaming Data: Overview, Applications and Challenges
Shikha Verma

Binary Prediction
Arnab Kumar Laha

Reliability Shock Models: A Brief Excursion
Murari Mitra, Ruhul Ali Khan

Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters
Sandip Kumar Pal, Amol A. Bhave, Kingshuk Banerjee

Style Scanner—Personalized Visual Search and Recommendations
Abhishek Kushwaha, Saurav Chakravorty, Paulami Das

Artificial Intelligence-Based Cost Reduction for Customer Retention Management in the Indian Life Insurance Industry
Sanjay Thawakar, Vibhu Srivastava

Optimization of Initial Credit Limit Using Comprehensive Customer Features
Shreya Piplani, Geetika Bansal

Mitigating Agricultural Lending Risk: An Advanced Analytical Approach
Aditi Singh, Nishtha Jain

Application of Association Rule Mining in a Clothing Retail Store
Akshay Jain, Shrey Jain, Nitin Merh

Improving Blast Furnace Operations Through Advanced Analytics
Rishabh Agrawal, R. P. Suresh

Food Index Forecasting
Kalyani Dacha, Ramya Cherukupalli, Abir Sinha

Implementing Learning Analytic Tools in Predicting Students’ Performance in a Business School
R. Sujatha, B. Uma Maheswari

An Optimal Response-Adaptive Design for Multi-treatment Clinical Trials with Circular Responses
Taranga Mukherjee, Rahul Bhattacharya, Atanu Biswas

Stochastic Comparisons of Systems with Heterogeneous Log-Logistic Components
Shyamal Ghosh, Priyanka Majumder, Murari Mitra

Stacking with Dynamic Weights on Base Models
Biswaroop Mookherjee, Abhishek Halder

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

Response Prediction and Ranking Models for Large-Scale Ecommerce Search
Seinjuti Chatterjee, Ravi Shankar Mishra, Sagar Raichandani, Prasad Joshi

Connectedness of Markets with Heterogeneous Agents and the Information Cascades
Avijit Ghosh, Aditya Chourasiya, Lakshay Bansal, Abhijeet Chandra



This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts. 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.

https://link.springer.com/book/10.1007/978-981-33-6656-5#about

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