Subgroup Discovery: Real-World Applications
| dc.cclicence | CC-BY-NC | en |
| dc.contributor.author | Carmona, C. J. | en |
| dc.contributor.author | Elizondo, David | en |
| dc.date.acceptance | 2011-03-01 | en |
| dc.date.accessioned | 2017-05-31T14:06:14Z | |
| dc.date.available | 2017-05-31T14:06:14Z | |
| dc.date.issued | 2011-03-01 | |
| dc.description.abstract | Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. In this paper, an overview about subgroup discovery is performed. In addition, di erent real-world applications solved through evolutionary algorithms where the suitability and potential of this type of algorithms for the development of subgroup discovery algorithms are presented. | en |
| dc.explorer.multimedia | No | en |
| dc.funder | N/A | en |
| dc.identifier.citation | Carmona, C.J. and Elizondo, D. (2011) Subgroup Discovery: Real-World Applications. | en |
| dc.identifier.other | TR01-2011 | |
| dc.identifier.uri | http://hdl.handle.net/2086/14215 | |
| dc.peerreviewed | No | en |
| dc.projectid | N/A | en |
| dc.publisher | Techincal Report | en |
| dc.relation.ispartofseries | N/A; | |
| dc.researchgroup | DIGITS | en |
| dc.researchinstitute | Institute of Artificial Intelligence (IAI) | en |
| dc.title | Subgroup Discovery: Real-World Applications | en |
| dc.type | Technical Report | en |