Title :
An induction-based compaction of sets of association rules among Web concepts
Author :
Espil, Mauricio Minuto ; Ale, Juan M.
Author_Institution :
LIFIA, Univ. Nac. de La Plata, La Plata, Argentina
Abstract :
Association rules are nowadays regarded as robust vehicles for creating Web recommendations. We present an induction-based technique for creating a compact representation of sets of association rules, particularly intended for publishing the compact representation in the Web. Our technique efficiently induces a defeasible logic program from a set of association rules, in a manner that the complete set of the given associations can be concluded, when integrating the induced compact program within a defeasible logic reasoning framework.
Keywords :
Advertising; Association rules; Compaction; Data mining; Itemsets; Logic; Ontologies; Publishing; Robustness; Vehicles; Association Rules Discovery; Data Mining Post-Processing; Defeasible Logic Reasoning; Web Ontologies;
Conference_Titel :
Research Challenges in Information Science (RCIS), 2010 Fourth International Conference on
Conference_Location :
Nice, France
Print_ISBN :
978-1-4244-4839-5
Electronic_ISBN :
2151-1349
DOI :
10.1109/RCIS.2010.5507390