Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/54565

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dc.contributor.authorBarbosa, Rui Pedropor
dc.contributor.authorBelo, Orlandopor
dc.date.accessioned2018-04-23T14:47:00Z-
dc.date.issued2009-
dc.identifier.isbn9783642043932-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1822/54565-
dc.description.abstractClassification is a machine learning technique whose objective is the prediction of the class membership of data instances. There are numerous models Currently available for performing classification. among which decision trees and artificial neural networks. In this article we describe the implementation of a new lazy classification model called similarity classifier. Given an out-of-sample instance, this model predicts its class by finding the training instances that are similar to it, and returning the most frequent class among these instances. The classifier was implemented using Weka's data mining API, and is available for download. Its performance. according to accuracy and speed metrics, compares relatively well with that of well-established classifiers such as nearest neighbor models or support vector machines. For this reason, the similarity classifier can become a useful instrument in a data mining practitioner's tool set.por
dc.language.isoengpor
dc.publisherSpringer-Verlag Berlinpor
dc.rightsrestrictedAccesspor
dc.subjectData miningpor
dc.subjectsupervised learningpor
dc.subjectclassificationpor
dc.titleLazy classification using an optimized instance-based learnerpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationStartPage66por
oaire.citationEndPage73por
oaire.citationVolume5788por
dc.date.updated2018-04-23T13:56:23Z-
dc.identifier.doi10.1007/978-3-642-04394-9_9por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier5141-
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGSpor
sdum.bookTitleINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGSpor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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