Discovering Relational Emerging Patterns

The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been extensively investigated for attribute-value representations. In this work we propose a method, named Mr-EP, which discovers EPs from data scattered in multiple tables of a relational database. Generated EPs can capture the differences between objects of two classes which involve properties possibly spanned in separate data tables. We implemented Mr-EP in a pre-existing multirelational data mining system which is tightly integrated with a relational DBMS, and then we tested it on two sets of geo-referenced data.

• Type: Conference
• Year: 2007
• Where: AIIA
• Authors: Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba
• Keywords: AIIA 2007, Artificial Intelligence, Data Mining, Data Mining Task, Pre-classified Data