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Data Mining Methods - Rajan Chattamvelli

Data Mining Methods

Buch | Hardcover
436 Seiten
2008
Alpha Science International Ltd (Verlag)
978-1-84265-523-8 (ISBN)
CHF 81,70 inkl. MwSt
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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.
"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.

Rajan Chattamvelli.: Technology Development Center Network Systems and Technologies Pvt. Ltd., Technopark, Trivandrum

Preface / List of Figures / List of Tables / Basic Concepts in Data Mining / Data Visualisation Techniques / Probability and Statistics / Datawarehousing and OLAP / Decision Trees / Association Rules / Cluster Analysis / Genetic Algorithms / Neural Networks / Web Mining / Support Vector Machines / Latent Semantic Indexing / Appendix-A / Solution to Selected Exercises / Index.

Erscheint lt. Verlag 24.11.2008
Verlagsort Oxford
Sprache englisch
Maße 185 x 240 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
ISBN-10 1-84265-523-X / 184265523X
ISBN-13 978-1-84265-523-8 / 9781842655238
Zustand Neuware
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