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Heuristic approaches for optimizing the performance of rule-based classifiers

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dc.contributor.author Harmanani, Haidar
dc.contributor.author Azar, Danielle
dc.date.accessioned 2017-03-29T07:09:43Z
dc.date.available 2017-03-29T07:09:43Z
dc.identifier.isbn 978-1-4577-0966-1 en_US
dc.identifier.uri http://hdl.handle.net/10725/5450
dc.description.abstract Rule-based classifiers are supervised learning techniques that are extensively used in various domains. This type of classifiers is popular because of its nature which makes it modular and easy to interpret and also because of its ability to provide the classification label as well as the reason behind it. Rule-based classifiers suffer from a degradation of their accuracy when they are used on new data. In this paper, we present an approach that optimizes the performance of the rule-based classifiers on the testing set. The approach is implemented using five different heuristics. We compare the behavior on different data sets that are extracted from different domains. Favorable results are reported. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.title Heuristic approaches for optimizing the performance of rule-based classifiers en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAS en_US
dc.author.idnumber 199490170 en_US
dc.author.idnumber 198833240 en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.keywords Software systems en_US
dc.keywords Genetic algorithms en_US
dc.keywords Object oriented modeling en_US
dc.keywords Biological cells en_US
dc.keywords Encoding en_US
dc.keywords Predictive models en_US
dc.keywords Accuracy en_US
dc.identifier.doi http://dx.doi.org/10.1109/IRI.2011.6009515 en_US
dc.identifier.ctation Azar, D., & Harmanani, H. (2011, August). Heuristic approaches for optimizing the performance of rule-based classifiers. In Information Reuse and Integration (IRI), 2011 IEEE International Conference on (pp. 25-31). IEEE. en_US
dc.author.email haidar.harmanani@lau.edu.lb en_US
dc.author.email danielle.azar@lau.edu.lb en_US
dc.conference.date 3-5 Aug. 2011 en_US
dc.conference.pages 25-31 en_US
dc.conference.place Las Vegas, NV, USA en_US
dc.conference.title 2011 IEEE International Conference on Information Reuse and Integration en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/6009515/ en_US
dc.author.affiliation Lebanese American University en_US


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