Full model selection in the space of data mining operators
dc.contributor.author | Sun, Quan | |
dc.contributor.author | Pfahringer, Bernhard | |
dc.contributor.author | Mayo, Michael | |
dc.coverage.spatial | Conference held at Philadelphia, Pennsylvania, USA | en_NZ |
dc.date.accessioned | 2012-05-17T04:45:12Z | |
dc.date.available | 2012-05-17T04:45:12Z | |
dc.date.issued | 2012 | |
dc.description.abstract | We propose a framework and a novel algorithm for the full model selection (FMS) problem. The proposed algorithm, combining both genetic algorithms (GA) and particle swarm optimization (PSO), is named GPS (which stands for GAPSO-FMS), in which a GA is used for searching the optimal structure of a data mining solution, and PSO is used for searching the optimal parameter set for a particular structure instance. Given a classification or regression problem, GPS outputs a FMS solution as a directed acyclic graph consisting of diverse data mining operators that are applicable to the problem, including data cleansing, data sampling, feature transformation/selection and algorithm operators. The solution can also be represented graphically in a human readable form. Experimental results demonstrate the benefit of the algorithm. | en_NZ |
dc.format.mimetype | application/pdf | |
dc.identifier.citation | Sun, Q., Pfahringer, B. & Mayo, M. (2012). Full model selection in the space of data mining operators. GECCO’12 Companion, July 7–11, 2012, Philadelphia, PA, USA. | en_NZ |
dc.identifier.doi | 10.1145/2330784.2331014 | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10289/6339 | |
dc.language.iso | en | |
dc.publisher | ACM | en_NZ |
dc.relation.isPartOf | Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference Companion | en_NZ |
dc.relation.uri | http://www.sigevo.org/gecco-2012/ | |
dc.rights | Copyright is held by the authors. | en_NZ |
dc.subject | genetic algorithm | en_NZ |
dc.subject | particle swarm | en_NZ |
dc.subject | full model selection | en_NZ |
dc.subject | Machine learning | |
dc.title | Full model selection in the space of data mining operators | en_NZ |
dc.type | Conference Contribution | en_NZ |
pubs.begin-page | 1503 | en_NZ |
pubs.elements-id | 22292 | |
pubs.end-page | 1504 | en_NZ |
pubs.finish-date | 2012-07-11 | en_NZ |
pubs.place-of-publication | New York, NY | en_NZ |
pubs.start-date | 2012-07-07 | en_NZ |
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