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AIIA
2007
Springer

Discovering Relational Emerging Patterns

14 years 6 months ago
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.
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AIIA
Authors Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba
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