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dc.contributor.authorHmida, Hmida
dc.contributor.authorBen Hamida, Sana
dc.contributor.authorBorgi, Amel
dc.contributor.authorRukoz, Marta
dc.date.accessioned2019-10-03T12:27:24Z
dc.date.available2019-10-03T12:27:24Z
dc.date.issued2019
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19994
dc.language.isoenen
dc.subjectGenetic Programmingen
dc.subjectMachine learningen
dc.subjectSparken
dc.subjectLarge dataseten
dc.subjectHiggs Boson classificationen
dc.subject.ddc005en
dc.titleGenetic Programming over Spark for Higgs Boson Classificationen
dc.typeCommunication / Conférence
dc.description.abstractenWith the growing number of available databases having a very large number of records, existing knowledge discovery tools need to be adapted to this shift and new tools need to be created. Genetic Programming (GP) has been proven as an efficient algorithm in particular for classification problems. Notwithstanding, GP is impaired with its computing cost that is more acute with large datasets. This paper, presents how an existing GP implementation (DEAP) can be adapted by distributing evaluations on a Spark cluster. Then, an additional sampling step is applied to fit tiny clusters. Experiments are accomplished on Higgs Boson classification with different settings. They show the benefits of using Spark as parallelization technology for GP.en
dc.identifier.citationpages300-312en
dc.relation.ispartoftitleBusiness Information Systems, Conference proceedingsen
dc.relation.ispartofeditorAbramowicz, Witold
dc.relation.ispartofeditorCorchuelo, Rafael
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofdate2019
dc.relation.ispartofpages541en
dc.relation.ispartofurl10.1007/978-3-030-20485-3en
dc.contributor.countryeditoruniversityotherTUNISIA
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-3-030-20485-3en
dc.relation.conftitle22nd International Conference, BIS 2019en
dc.relation.confdate2019-06
dc.relation.confcitySevilleen
dc.relation.confcountrySpainen
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-030-20485-3_23en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-10-03T12:21:29Z
hal.person.labIds989
hal.person.labIds989
hal.person.labIds253759
hal.person.labIds989
hal.faultCode{"duplicate-entry":{"hal-02286136":{"doi":"1.0"},"hal-02186207":{"doi":"1.0"}}}


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