Applied advanced analytics : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / Arnab Kumar Laha, editor.
2021
HF5548.2 .I58 2021
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Title
Applied advanced analytics : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / Arnab Kumar Laha, editor.
Meeting Name
ISBN
9789813366565 (electronic bk.)
9813366567 (electronic bk.)
9789813366558
9813366559
9813366567 (electronic bk.)
9789813366558
9813366559
Published
Singapore : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-981-33-6656-5 doi
Call Number
HF5548.2 .I58 2021
Dewey Decimal Classification
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.
Note
International conference proceedings.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 21, 2021).
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Series
Springer proceedings in business and economics. 2198-7246
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Table of Contents
Data Streams
Robust Statistics
Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters
Mitigating Agricultural Lending Risk: An Advanced Analytical Approach.
Robust Statistics
Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters
Mitigating Agricultural Lending Risk: An Advanced Analytical Approach.