A New Approach to Classification by Means of Jumping Emerging Patterns

Aleksey Buzmakov 1 Sergei O. Kuznetsov 2 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Classification is one of the important fields in data analysis. Generating concept-based (JSM) hypotheses is a well-known approach to this task. Although the accuracy of this approach is quite good, the coverage is often insufficient. In this paper a new classification approach is presented. The approach is based on the similarity of an object to be classified to the current set of hypotheses: it attributes the new object to the class that minimizes the set of new hypotheses when a new object is added to the training set. The proposed approach provides a better coverage in comparison with the classical approach.
Type de document :
Communication dans un congrès
FCA4AI: International Workshop "What can FCA do for Artificial Intelligence?" - 2012, Dec 2012, Montpellier, France. 2012
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00761602
Contributeur : Aleksey Buzmakov <>
Soumis le : mercredi 5 décembre 2012 - 17:18:14
Dernière modification le : jeudi 11 janvier 2018 - 06:25:24
Document(s) archivé(s) le : samedi 17 décembre 2016 - 21:15:51

Fichier

mining-EP-paper.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00761602, version 1

Collections

Citation

Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli. A New Approach to Classification by Means of Jumping Emerging Patterns. FCA4AI: International Workshop "What can FCA do for Artificial Intelligence?" - 2012, Dec 2012, Montpellier, France. 2012. 〈hal-00761602〉

Partager

Métriques

Consultations de la notice

279

Téléchargements de fichiers

148