EF_Unique: An Improved Version of Unsupervised Equal Frequency Discretization Method

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dc.contributor.authorHacibeyoglu, Mehmet
dc.contributor.authorIbrahim, Mohammed H.
dc.date.accessioned2024-02-23T14:00:03Z
dc.date.available2024-02-23T14:00:03Z
dc.date.issued2018
dc.departmentNEÜen_US
dc.description.abstractDiscretization is an important data preprocessing technique used in data mining and knowledge discovery processes. The purpose of discretization is to transform or partition continuous values into discrete ones. In this manner, many data mining classification algorithms can be applied the discrete data more concisely and meaningfully than continuous ones, resulting in better performance. In this study, an improved version of the unsupervised equal frequency (EF) discretization method, EF_Unique, is proposed for enhancing the performance of discretization. The proposed EF_Unique discretization method is based on the unique values of the attribute to be discretized. In order to test the success of the proposed method, 17 benchmark datasets from the UCI repository and four data mining classification algorithms were used, namely Naive Bayes, C.45, k-nearest neighbor, and support vector machine. The experimental results of the proposed EF_Unique discretization method were compared with those obtained using well-known discretization methods; unsupervised equal width (EW), EF, and supervised entropy-based ID3 (EB-ID3). The results show that the proposed EF_Unique discretization method outperformed EW, EF, and EB-ID3 discretization methods in 43, 41, and 27 out of the 68 benchmark tests, respectively.en_US
dc.identifier.doi10.1007/s13369-018-3144-z
dc.identifier.endpage7704en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-85056251979en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage7695en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-018-3144-z
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11436
dc.identifier.volume43en_US
dc.identifier.wosWOS:000449936300064en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science And Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassification Algorithmsen_US
dc.subjectData Miningen_US
dc.subjectSupervised Discretizationen_US
dc.subjectUnsupervised Discretizationen_US
dc.titleEF_Unique: An Improved Version of Unsupervised Equal Frequency Discretization Methoden_US
dc.typeArticleen_US

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