Relational Data Mining Applications: An Overview

Saso Dzeroski. In Saso Dzeroski and Nada Lavrac, editors, Relational Data Mining, pages 339--364. Springer-Verlag, September 2001. More behind this link.

Abstract

This chapter gives an overview of applications of relational learning and inductive logic programming to data mining problems in a variety of areas. These include bioinformatics, where successful applications come from drug design, predicting mutagenicity and carcinogenicity, and predicting protein structure and function, including genome scale prediction of protein functional class. Other application areas include medicine, environmental sciences and monitoring, mechanical and traffic engineering. Applications of relational learning are also emerging in business data analysis, text and Web mining, and miscellaneous other fields, such as the analysis of musical performances.

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by S Dzeroski,
of 2001.