Relational Data Mining. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2001
- Hardcover
- Neu

Anbieter: Biblios, frankfurt am main, hessen, DeutschlandBiblios
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Hardcover
Zustand: Neu
EUR 44,75
Artikelbeschreibung vom Verkäufer
pp. 420.
Bestandsnummer des Verkäufers 18302550
- Titel
- Relational Data Mining
- Autor
- Lavra? Nada Dzeroski Saso
- Verlag
- Springer
- Veröffentlichungsjahr
- 2001
- Zustand
- New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 3540422897
- ISBN-13
- 9783540422891
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.
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.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Von der hinteren Coverseite
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.
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.
„Über diesen Titel“ gehört möglicherweise zu einer anderen Auflage dieses Titels.