Intelligent Techniques for Predictive Data Analytics

＂This book provides an in-depth introduction of the tools and techniques used for predictive analytics, offering examples for a variety of job areas such as healthcare, e-Commerce, banking, and more. An experienced team of editors and contributors share their knowledge and provide separate chapters on cyber security risks, network security analytics, data mining, and machine learning for predictive data analysis, with each chapter offering a brief introduction. Intelligent Techniques for Predictive Data Analytics implements predictive analytics into smart grids and energy sectors, providing readers knowledge on failure probability modelling, power quality monitoring, and load forecasting, as well as information on smart grid analytics to further knowledge on clean energy and sustainability. Comprised of 11 chapters, this book touches on the issues and challenges that come with predictive analytics and discusses its evolution and future, with a clear understanding of data processing, classification and analysis to support strategic decisions＂--

Dr. Neha Singh is an Assistant Professor in the Electronics & Communication Engineering Department at Manipal University Jaipur, India. Dr. Shilpi Birla is an Associate Professor in the Electronics & Communication Department at Manipal University Jaipur, India. Dr. Mohd Dilshad Ansari is an Associate Professor in the Computer Science & Engineering Department at SRM University Delhi-NCR, Sonepat, Haryana, India. Dr. Neeraj Kumar Shukla is an Associate Professor in the Electrical Engineering Department at King Khalid University, Saudi Arabia.