Predictive Analytics for Data Driven Decision Making
Tools and Techniques for Solving Real World Problems
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97 456 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Nova Science Publishers, Inc
- Date of Publication 30 March 2022
- ISBN 9781685076504
- Binding Hardback
- No. of pages417 pages
- Size 230x155 mm
- Weight 690 g
- Language English 249
Categories
Long description:
Predictive analytics is an evolving field and has applications across all domains and sectors. This book will introduce to the reader the concept of predictive analytics and cover in detail the predictive analytic models, tools and techniques involved. The book will also cover the applications of predictive analytics in various domains including health care, banking, agriculture, retailing, sports and industries using smart grid and industrial drivers with real world scenarios. This book covers performance improvement and enhancement techniques with the aid of intelligent predictive analytical algorithms to predict future patterns. This would be a handy guide covering all steps from identification of the problem, preparing the data, model building and recommending solutions. Hence, the readers can experience the various types of performance improvement techniques and implement them in their specific domain.
MoreTable of Contents:
Preface; Acknowledgments; About the Authors; Introduction to Predictive Analytics; Predictive Analytics Modeling; Predictive Analytics Tools and Techniques; Big Data and Internet of Things; Predictive Analytics in Smart Grid; Predictive Analytics in Industrial Drives; Predictive Analytics in Mitigating Power Quality Issues; Predictive Analytics in Healthcare; Predictive Analytics in Agriculture; Predictive Analytics in Banking Sector; Predictive Analytics in Retailing; Predictive Analytics in Sports Management; Index.
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