| Relational Data Mining 2001 Edition Contributor(s): Dzeroski, Saso (Editor), Lavrač, Nada (Editor) |
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ISBN: 3540422897 ISBN-13: 9783540422891 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: August 2001 Annotation: As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field. |
| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | System Administration - Storage & Retrieval - Computers | Computer Vision & Pattern Recognition |
| Dewey: 005.74 |
| LCCN: 2001049336 |
| Physical Information: 0.78" H x 6.4" W x 9.46" (1.54 lbs) 398 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field. |
