Relational Data Mining - Info and Reading Options
By Saso Dzeroski
"Relational Data Mining" was published by Springer in October 2, 2001, the book is classified in Business & Economics genre, it has 398 pages and the language of the book is English.
“Relational Data Mining” Metadata:
- Title: Relational Data Mining
- Author: Saso Dzeroski
- Language: English
- Number of Pages: 398
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: October 2, 2001
- Genres: Business & Economics
“Relational Data Mining” Subjects and Themes:
- Subjects: Relational databases - Database management - Data mining
Edition Specifications:
- Format: Hardcover
- Weight: 1.5 pounds
- Dimensions: 9.3 x 6.2 x 0.9 inches
Edition Identifiers:
- Google Books ID: fdq_wq8n9hkC
- The Open Library ID: OL9057364M - OL18733688W
- Online Computer Library Center (OCLC) ID: 47739799
- Library of Congress Control Number (LCCN): 2001049336
- ISBN-13: 9783540422891
- ISBN-10: 3540422897
- All ISBNs: 3540422897 - 9783540422891
AI-generated Review of “Relational Data Mining”:
Snippets and Summary:
This book will become a valuable source of reference for R&D professionals active in relational data mining.
"Relational Data Mining" Description:
Google Books:
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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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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- Is Online Borrowing Available: Yes
- Preview Status: restricted
- Check if available: The Open Library & The Internet Archive
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