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N/A - Relational Data Mining - 9783540422891 - V9783540422891
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Relational Data Mining

€ 126.68
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Description for Relational Data Mining Hardback. Devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The book covers the basics of classical knowledge discovery; the techniques in relational data mining; and advanced applications in various fields. Num Pages: 398 pages, 69 black & white tables, biography. BIC Classification: UM; UN; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 23. Weight in Grams: 763.
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. ... Read more

Product Details

Format
Hardback
Publication date
2001
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
398
Condition
New
Number of Pages
398
Place of Publication
Berlin, Germany
ISBN
9783540422891
SKU
V9783540422891
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Relational Data Mining
From the reviews: "The book is a collection of contributions from several authors who worked in the field. It provides quite an extensive overview of different techniques and strategies used in knowledge discovery from multi-relational data, and describes several interesting applications. … the book may stimulate the interest for practical applications of relational data mining ... Read more

Goodreads reviews for Relational Data Mining


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