2014
DOI: 10.7763/ijcte.2014.v6.912
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Data Mining in Semantic Web Data

Abstract: Abstract-This research aims at studying the data mining role in semantic web data. Semantic web is popular in a variety of different applications, but research in data mining in semantic web data, appears less. As open source software for data mining in semantic web open source is minimal, and data model of the semantic web requires RDF or OWL format. These specific formats cannot be used directly in most data mining tools. We thus propose a methodology to mine data that appear in an RDF format. The mining pro… Show more

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Cited by 3 publications
(2 citation statements)
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“…Ref. [7] studied the performance improvement of the classification model using random oversampling to select 25% of the highly correlated features using the dataset and to solve the data imbalance problem. Ref.…”
Section: Machine Learning Studies Using the Secom Datasetmentioning
confidence: 99%
“…Ref. [7] studied the performance improvement of the classification model using random oversampling to select 25% of the highly correlated features using the dataset and to solve the data imbalance problem. Ref.…”
Section: Machine Learning Studies Using the Secom Datasetmentioning
confidence: 99%
“…Teknik penambangan data yang diterapkan adalah menggunakan klasifikasi, dan selanjutnya dilakukan proses prediksi terhadap model klasfikasi yang dilakukan [22]. Kelemahan dari penelitian ini adalah penggunaan dataset Iris yang langsung diubah ke dalam bentuk RDF/OWL, tidak membangun sebuah ontology yang sesuai dengan dataset Iris.…”
Section: Association Rule Dalam Semantic Webunclassified