Relational Data Mining

Name: Relational Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642076046
Price: 105.32 EUR
Availability: InStock

Автор: Saso Dzeroski, Nada Lavrac

Език:

Корици: С меки корици

Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Наличност: Външен склад

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105.32 € 205.99 лв

As the first book devoted to relational data mining, this coherently written multi-author monograph...

Информация за книгата

Автор

Saso Dzeroski, Nada Lavrac

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

398

EAN

9783642076046

ISBN

3642076041

Enbook ID

01652721

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

633

Размери

156 x 235 x 23

Пълно описание

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.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.

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Пълно описание

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