An ordered preprocessing scheme for data mining

Autor:	Joaquín Pérez, N. Vanesa Landero, S. Elizabeth Del Angel, R Laura Cruz, Verónica Peréz, Victor M. Álvarez
Předmět:	Scheme (programming language) Discretization business.industry Computer science Pattern recognition Feature selection computer.software_genre Statistical classification Preprocessor Data mining Artificial intelligence Data pre-processing business computer computer.programming_language
Zdroj:	Scopus-Elsevier PRICAI 2004: Trends in Artificial Intelligence ISBN: 9783540228172 PRICAI
Popis:	Data preprocessing plays an important role in many processes of data mining. The practice widely adopted in this area is only to use a preprocessing method like discretization. In this paper we propose an ordered scheme to combine various important methods of data preprocessing. The aim is to increase the accuracy of the most used classification algorithms. The experimental results showed that our proposed scheme is better than the classical scheme.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8515f35a5dde8f9c72ba3f031369b516 http://www.scopus.com/inward/record.url?eid=2-s2.0-22944446160&partnerID=MN8TOARS Zobrazit plný text záznamu