Skip to Main content Skip to Navigation
New interface
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Aleksey Buzmakov Connect in order to contact the contributor
Submitted on : Wednesday, December 5, 2012 - 5:18:14 PM
Last modification on : Thursday, August 4, 2022 - 5:18:45 PM
Long-term archiving on: : Saturday, December 17, 2016 - 9:15:51 PM


Files produced by the author(s)


  • HAL Id : hal-00761602, version 1


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. ⟨hal-00761602⟩



Record views


Files downloads