ePrivacy and GPDR Cookie Consent by Cookie Consent

What to read after Relational Data Mining?

Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Relational Data Mining" by Saso Dzeroski! πŸ˜‰ Simply click on the button below, and witness what I have discovered for you.

Exciting news! I've found some fantastic books for you! πŸ“šβœ¨ Check below to see your tailored recommendations. Happy reading! πŸ“–πŸ˜Š

Relational Data Mining

Saso Dzeroski

Business & Economics / Information Management

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.
Do you want to read this book? 😳
Buy it now!

Are you curious to discover the likelihood of your enjoyment of "Relational Data Mining" by Saso Dzeroski? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.