Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

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"This book leads to emergence of new, insufficiently analyzed and described organizational phenomena. Thoroughly studying this from international comparative cross-cultural perspective, Management Practices in High-Tech Environments presents cutting-edge research on management practices in American, European, Asian and Middle-Eastern high-tech companies, with particular focus on fieldwork-driven, but reflective, contributions"--Provided by publisher.

An unmatched collection of resources perfect for psychologists, scholars, and HR practitioners In The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention, an expert team of authors presents a comprehensive and authoritative perspective on critical issues in employee recruitment, selection, and retention. Every chapter offers an in-depth review of the most recent literature and provides academics, researchers, industry practitioners, and students with a holistic reference to relevant data and theory. The book includes job analyses, biodata, simulation exercises, talent management guides, talent assessment guides for leadership development, and online employee selection strategies.