ART: A Hybrid Classification Model

Fernando Berzal, Juan Carlos Cubero, Daniel Sánchez, José María Serrano

Research output: Indexed journal article Articlepeer-review

39 Citations (Scopus)


This paper presents a new family of decision list induction algorithms based on ideas from the association rule mining context. ART, which stands for 'Association Rule Tree', builds decision lists that can be viewed as degenerate, polythetic decision trees. Our method is a generalized "Separate and Conquer" algorithm suitable for Data Mining applications because it makes use of efficient and scalable association rule mining techniques.

Original languageEnglish
Pages (from-to)67-92
Number of pages26
JournalMachine Learning
Issue number1
Publication statusPublished - Jan 2004
Externally publishedYes


  • Association rules
  • Classification
  • Data Mining
  • Decision lists
  • Decision trees
  • Supervised learning


Dive into the research topics of 'ART: A Hybrid Classification Model'. Together they form a unique fingerprint.

Cite this