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The use and application of data mining and big data increasingly take center stage in our modern, data-saturated society, due to explosions in automated data collection, advances in computing power, online and social media development, and interactive / linkable software. This book provides a coherent, technical introduction to the statistical analytics needed to support decision and policy making based on these amassing data. It prepares students and interested practitioners to explore and analyze large databases in a variety of application areas, including business & finance, public health, engineering, environmental & climate science, astronomy & astrophysics, and many others. Each featured method is illustrated with real-world examples and links are provided to open-source R computer code for implementation of the methodology. The text features extensive exercises, making it suitable for use as a course sourcebook. About the Author "Walter W. Piegorsch is a Professor of Mathematics at the University of Arizona and the Director of Statistical Research & Education at its BIO5 Institute for Collaborative Bioresearch. Professor Piegorsch is an experienced and highly regarded author and editor. He has co-authored one previous book for Wiley, and is a founding and current co-Editor for Wiley's StatsRef: Statistics Reference Online, a comprehensive online reference resource which covers the fundamentals and applications of statistical theory, methods and practice.�He has also been on the editorial board of many scientific journals, and served as joint-Editor of the Journal of the American Statistical Association (Theory and Methods Section)."