Super Computer Heterogeneous Classifier Meta-Ensembles

Anthony Bagnall, Gavin Cawley, Ian Whittley, Larry Bull, Matthew Studley, Mike Pettipher and F. Tekiner
Additional contact information
Anthony Bagnall: University of East Anglia, UK
Gavin Cawley: University of East Anglia, UK
Ian Whittley: University of East Anglia, UK
Larry Bull: University of West of England, UK
Matthew Studley: University of West of England, UK
Mike Pettipher: University of Manchester, UK
F. Tekiner: University of Manchester, UK

International Journal of Data Warehousing and Mining (IJDWM), 2007, vol. 3, issue 2, 67-82

Abstract: This article describes the entry of the Super Computer Data Mining (SCDM) Project to the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2006 Data Mining Competition. The SCDM project is developing data mining tools for parallel execution on Linux clusters. The code is freely available; please contact the first author for a copy. We combine several classifiers, some of them ensemble techniques, into a heterogeneous meta-ensemble, to produce a probability estimate for each test case. We then use a simple decision theoretic framework to form a classification. The meta-ensemble contains a Bayesian neural network, a learning classifier system (LCS), attribute selection based-ensemble algorithms (Filtered At-tribute Subspace based Bagging with Injected Randomness [FASBIR]), and more well-known classifiers such as logistic regression, Naive Bayes (NB), and C4.5.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jdwm.2007040106 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:3:y:2007:i:2:p:67-82

Access Statistics for this article

International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede

More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().