Freitas, Alex A. (1997) A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction. In: Koza, J.R. and Deb, K., eds. Genetic Programming 1997: Proceedings of the Second Annual Conference. Morgan Kaufmann, pp. 96-101. ISBN 978-1-55860-483-4. (KAR id:21483)
|
Postscript
Language: English |
|
|
Download this file (Postscript/489kB) |
Preview |
| Request a format suitable for use with assistive technology e.g. a screenreader | |
|
PDF
Language: English |
|
|
Download this file (PDF/51kB) |
Preview |
| Request a format suitable for use with assistive technology e.g. a screenreader | |
Abstract
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely classification and generalized rule induction. The framework emphasizes the integration between a GP algorithm and relational database systems. In particular, the fitness of individuals is computed by submitting SQL queries to a (parallel) database server. Some advantages of this integration from a data mining viewpoint are scalability, data-privacy control and automatic parallelization.
| Item Type: | Book section |
|---|---|
| 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 |
| Funders: | Stanford University (https://ror.org/00f54p054) |
| Depositing User: | Mark Wheadon |
| Date Deposited: | 29 Jul 2009 17:52 UTC |
| Last Modified: | 05 Nov 2024 09:59 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/21483 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Freitas, Alex A..
| Creator's ORCID: |
 https://orcid.org/0000-0001-9825-4700
|
|---|---|
| CReDIT Contributor Roles: |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Download Statistics
Download Statistics
