Predictive analytics for data driven decision making tools and techniques for solving real world problems / L. Ashok Kumar, R. Sujatha and B. Uma Maheswari.
| Author/creator | Kumar, L. Ashok |
| Other author | Sujatha, R. (Computer science professor) |
| Other author | Maheswari, B. Uma. |
| Format | Electronic |
| Publication Info | New York : Nova Science Publishers, [2022] |
| Description | viii, 417 pages : illustrations ; 23 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Research methodology and data analysis |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2022011437 |
| ISBN | 9781685076504 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |