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.

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...

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...

Prepare future hotel general managers to efficiently supervise and run a midsize full-service hotel. Hotel Operations Management provides an up-to-date and comprehensive examination of all aspects of hotel administration from the viewpoint of the hotel general manager. Detailed information addresses the operating departments of a full-service hotel: Human Resources; Controller; The Front Office; Housekeeping; Food and Beverage; Safety and Property Security; Sales and Marketing; Accounting; an...

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 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. ...

The Coaching Manual is based on methods developed - and proven –in business, this highly practical book will show you how coaching works, take you step-by-step through everything you need to know and do, and show you how both parties can get the best from the relationship

Translated around the world, and recommended reading on many coaching programmes this bestselling book is trusted globally as the definitive guide to coaching.

This carefully revised edition will guide you through the enti...

For first courses in operations research, operations management. Covers a broad range of optimization techniques, including linear programming, network flows, integer/combinational optimization, and nonlinear programming. Emphasizes the importance of modeling and problem formulation, this text teaches students how to apply algorithms to real-world problems to arrive at optimal solutions.