Skip to main content

Genetic Programming for Attribute Construction in Data Mining

Otero, Fernando E.B. and Silva, Monique M.S and Freitas, Alex A. and Nievola, Julio C. (2003) Genetic Programming for Attribute Construction in Data Mining. In: Ryan, Conor and Keijzer, Maarten and Poli, Riccardo and Soule, Terence and Tsang, Edward and Costa, Ernesto, eds. Genetic Programming 6th European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 384-393. ISBN 978-3-540-00971-9. E-ISBN 978-3-540-36599-0. (doi:10.1007/3-540-36599-0_36) (KAR id:13990)

PDF Author's Accepted Manuscript
Language: English
Click to download this file (72kB) Preview
[thumbnail of EuroGP-2003-Fernando.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL:


For a given data set, its set of attributes defines its data space representation. The quality of a data space representation is one of the most important factors influencing the performance of a data mining algorithm. The attributes defining the data space can be inadequate, making it difficult to discover high-quality knowledge. In order to solve this problem, this paper proposes a Genetic Programming algorithm developed for attribute construction. This algorithm constructs new attributes out of the original attributes of the data set, performing an important preprocessing step for the subsequent application of a data mining algorithm.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-36599-0_36
Uncontrolled keywords: genetic programming, data mining, classification
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Fernando Otero
Date Deposited: 24 Nov 2008 18:01 UTC
Last Modified: 16 Nov 2021 09:52 UTC
Resource URI: (The current URI for this page, for reference purposes)
Otero, Fernando E.B.:
Freitas, Alex A.:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.