Optimization of multiple classifiers in data mining based on string rewriting systems

Dazeley R., Kelarev A., Yearwood J., MƏMMƏDOV M.

Asian-European Journal of Mathematics, vol.2, no.1, pp.41-56, 2009 (Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 2 Say: 1
  • Nəşr tarixi: 2009
  • Doi nömrəsi: 10.1142/s1793557109000042
  • jurnalın adı: Asian-European Journal of Mathematics
  • Jurnalın baxıldığı indekslər: Scopus
  • Səhifə sayı: pp.41-56
  • Açar sözlər: multiple classifiers, Optimization, string rewriting systems
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

Optimization of multiple classifiers is an important problem in data mining. We introduce additional structure on the class sets of the classifiers using string rewriting systems with a convenient matrix representation. The aim of the present paper is to develop an efficient algorithm for the optimization of the number of errors of individual classifiers, which can be corrected by these multiple classifiers. © 2009 World Scientific Publishing Company.