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Applied Advanced Analytics - 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Hardcover, 1st ed. 2021)
Loot Price: R4,903
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Applied Advanced Analytics - 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Hardcover, 1st ed. 2021)
Series: Springer Proceedings in Business and Economics
Expected to ship within 12 - 17 working days
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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.
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