Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.

Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. This flexible text allows instructors to adapt to various course emphases (theory, methodology, applications, and numerical methods) and to use commercially available computer software.

A practical guide, from the basic techniques, through to advanced applications, showing you what operational risk is, and how you can manage it. Mastering Operational Risk provides a step-by-step guide from the basic elements of operational risk through to advanced applications of operational risk management. Focusing on practical applications, it gives you the knowledge needed to understand what operational risk is and puts in place a workable way of managing it.

For all courses in digital electronics, from introductory through advanced. Like previous editions, this text will be used widely in technology classes ranging from high schools and two-year programs to four-year engineering, engineering technology, and computer science programs. Written for all courses in digital electronics from introductory to advanced, from high school to two- and four-year college programs this 12th Edition of Digital Systems thoroughly prepares students for the study of...

A practical, easy-to-read text with a managerial approach to operations management For undergraduate and graduate course in operations management. Operations Management: Processes and Supply Chains provides students with a comprehensive framework for addressing operational process and supply chain issues and uses a systemised approach whilst focusing on issues of current interest. The 13th Edition provides ample opportunities for students to experience the role of a manager with challenging p...

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming, written by well-known researchers Calvin Lin and Lawrence Snyder, focuses on the underlying principles of parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. This book is ideal for an upper-level unde...

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field.

This revision focuses on improved clarity and deeper understan...

For courses in Introductory Sociology Sociology empowers students to see the world around them through a sociological lens, helping them better understand their own lives and the world we all share. John Macionis, author of the best-selling Introductory Sociology franchise over the last three decades, takes students step by step through the theories and research that make up the discipline, helping them to find and use the science of social behavior in everyday life. In addition to extensivel...

For courses in calculus-based physics. Practice makes perfect. The 15th Edition of University Physics with Modern Physics draws on a wealth of data insights from hundreds of faculty and thousands of student users to address one of the biggest challenges for students in introductory physics courses: seeing patterns and making connections between problem types.

Students learn to recognise when to use similar steps in solving the same problem type and develop an understanding for problem solving...

For courses in introductory statistics. the Art and Science of Learning from Data Statistics: the Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. ...