Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification
2014; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-319-07491-7_6
ISSN1611-3349
AutoresRaudel Hernández-León, José Hernández-Palancar, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad,
Tópico(s)Fuzzy Logic and Control Systems
ResumoIn Associative Classification, building a classifier based on Class Association Rules (CARs) consists in finding an ordered CAR list by applying a rule ordering strategy. Since this CAR list will be used to build a classifier, it is important to develop a good rule ordering strategy. In this paper, we introduce four novel hybrid rule ordering strategies; the first three combine the Netconf measure with Support-Confidence based rule ordering strategies. The fourth strategy, called Hybrid Specific Rules/Netconf (SR/NF), combines the Netconf measure with a rule ordering strategy based on the CAR’s size. The experiments show that the proposed strategies obtain better classification accuracy than the best ordering strategies reported in the literature.
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