Data Mining Methods

Suitable for students, teachers, and professionals of data mining and related fields, this book explains the data mining technologies, principles and methods with examples. It gives several applications in fraud detection, e-commerce, education, management, medicine, and more.

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"Data Mining Methods" is a definite guide for students, teachers, and professionals of data mining and related fields. Most of the data mining technologies, principles and methods are explained with examples. Several applications in fraud detection, e-commerce, education, management, medicine, etc. are given throughout the book. The first three chapters present basic concepts needed for understanding the rest of the book. Chapter four discusses Data warehousing and Online Analytical Processing (OLAP). The chapter on Decision Trees gives a thorough discussion, and comparison of tree induction algorithms. The chapter on Genetic Algorithms presents a novel application to telephone number scrambling. Other topics covered include Association Rule Mining, Cluster Analysis, Neural Networks, and Web Mining. The book ends with a lively discussion of Support Vector Machines, and Latent Semantic Indexing.