| dc.creator | RAUDEL HERNANDEZ LEON | |
| dc.creator | Jesús Ariel Carrasco Ochoa | |
| dc.creator | José Francisco Martínez Trinidad | |
| dc.date | 2012 | |
| dc.date.accessioned | 2023-07-25T16:24:26Z | |
| dc.date.available | 2023-07-25T16:24:26Z | |
| dc.identifier | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1842 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7807033 | |
| dc.description | Association rule mining and classification are important tasks in data mining. Using association rules has proved to be a good approach for classification. In this paper, we propose an accurate classifier based on class association rules (CARs), called CAR-IC, which introduces a new pruning strategy for mining CARs, which allows building specific rules with high confidence. Moreover, we propose and prove three propositions that support the use of a confidence threshold for computing rules that avoids ambiguity at the classification stage. This paper also presents a new way for ordering the set of CARs based on rule size and confidence. Finally, we define a new coverage strategy, which reduces the number of non-covered unseen-transactions during the classification stage. Results over several datasets show that CAR-IC beats the best classifiers based on CARs reported in the literature. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Elsevier Ltd. | |
| dc.relation | citation:Hernández-León, R., et al., (2012). Classification based on specific rules and inexact coverage, Expert Systems with Applications, (39): 11203–11211 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.subject | info:eu-repo/classification/Data mining/Data mining | |
| dc.subject | info:eu-repo/classification/Supervised classification/Supervised classification | |
| dc.subject | info:eu-repo/classification/Class association rules/Class association rules | |
| dc.subject | info:eu-repo/classification/Association rule mining/Association rule mining | |
| dc.subject | info:eu-repo/classification/cti/1 | |
| dc.subject | info:eu-repo/classification/cti/12 | |
| dc.subject | info:eu-repo/classification/cti/1203 | |
| dc.subject | info:eu-repo/classification/cti/1203 | |
| dc.title | Classification based on specific rules and inexact coverage | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.audience | students | |
| dc.audience | researchers | |
| dc.audience | generalPublic | |
