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.

Now in its ninth edition, Financial Management for Decision Makers provides students with a unique focus on the practical application of financial management and its role in decision making. Covering topics such as financial planning, making capital investment decisions, and financing a small business, it provides an ideal introduction to the world of financial management. New to this edition:* A new chapter on international aspects of financial management, which explores the benefits and pro...