Description

Book Synopsis
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.

Table 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.

Predictive Analytics for Data Driven Decision

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    Order before 4pm today for delivery by Wed 29 Jul 2026.

    A Hardback by L. Ashok Kumar

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      Publisher: Nova Science Publishers Inc
      Publication Date: Publication Date: 01/06/2022
      ISBN13: 9781685076504, 978-1685076504
      ISBN10: 1685076505

      Description

      Book Synopsis
      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.

      Table 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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