Comparing of Results and Implemantation of Clustering Methods of Data Mining Software with a Data Set

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dc.contributor.authorArgun, İrem Düzdar
dc.contributor.authorTemür, Günay
dc.date.accessioned2020-04-30T22:41:10Z
dc.date.available2020-04-30T22:41:10Z
dc.date.issued2017
dc.departmentDÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionScientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT) -- APR 20-21, 2017 -- Istanbul Arel Univ, Istanbul, TURKEYen_US
dc.descriptionTemur, Gunay/0000-0002-7197-5804en_US
dc.descriptionWOS: 000413686600036en_US
dc.description.abstractIn data mining, the process of grouping similar data among each other in an evaluation made by the same kind of data is called clustering. Clusters are usually computed by algorithms that take advantage of relational or remote neighborhood relations to each other. A large number of clustering methods are used in practice. In this study, the differences between open source software used in data mining and results obtained by clustering methods of Oracle, Knime, Weka and RapidMiner programs are tabulated. As a source for this study, clustering analysis based article presentations by M. Turanli, U.H. Ozden and S. Turedi have been handled. For the evaluation, in 2006, economic similarities of 29 countries from candidate and member countries from the EU in terms of proprtion of inflation, Gross National Product, Internet Usage, Unemployment, Lifetime Education Indicators and Imports and Exports were tried to be clustered. Clustering operations were performed separately as 2-3-4 clusters in each program. In the clustering process, the euclidean distance is set for calculation and the number of iterations is 99 in each program. The obtained results were written in tabular form and the results were interpreted.en_US
dc.description.sponsorshipIEEE Turkey Sect, IEEE EMB, IEEEen_US
dc.identifier.isbn978-1-5386-0440-3
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3136
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (Ebbt)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleComparing of Results and Implemantation of Clustering Methods of Data Mining Software with a Data Seten_US
dc.typeConference Objecten_US

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