MARC状态：已编 文献类型：西文图书 浏览次数：129
- 题名/责任者:
- Predictive analytics for data driven decision making : tools and techniques for solving real world problems / L. Ashok Kumar, R. Sujatha and B. Uma Maheswari.
- 出版发行项:
- New York : Nova Science Publishers, [2022]
- ISBN:
- 9781685076504
- ISBN:
- 1685076505
- 载体形态项:
- viii, 417 pages : illustrations ; 23 cm.
- 个人责任者:
- Kumar, L. Ashok, author.
- 论题主题:
- Management-Statistical methods.
- 论题主题:
- Decision making-Statistical methods.
- 论题主题:
- Predictive analytics.
- 论题主题:
- Big data.
- 论题主题:
- Data Mining
- 论题主题:
- Exploration de donn
- 中图法分类号:
- C931.1
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "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"--
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