Relational Data Mining

Name: Relational Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642076046
Price: 38435 HUF
Availability: InStock

Szerző: Saso Dzeroski, Nada Lavrac

Nyelv:

Kötés: Puha kötésű

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

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

38 435 Ft

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

Információk a könyvről

Szerző

Saso Dzeroski, Nada Lavrac

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

398

EAN

9783642076046

ISBN

3642076041

Enbook ID

01652721

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

633

Méretek

156 x 235 x 23

Teljes leírás

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.

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Relational Data Mining

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták