Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/74656
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHidayat, Muhamad Arief-
dc.contributor.authorDjunaidy, Arif-
dc.date.accessioned2016-06-09T04:12:28Z-
dc.date.available2016-06-09T04:12:28Z-
dc.date.issued2016-06-09-
dc.identifier.issn20853092-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/74656-
dc.descriptionJurnal SPIRIT Vo.7 No.1 Mei 2015, hal 14-22en_US
dc.description.abstractThe classification method based on data gravitation (DGC) is one of the new classification techniques that uses data gravitation as the criteria of the classification. In the case of DGC, an object is classified on the basis of the class that creates the largest gravitation in that object. However, the DGC method may cause inaccurate result when the training data being used suffer from the class imbalanced problem. This may be caused by the existence of the training data containing a class having excessively big mass that will in turn tend to classify an uknown object as a member of that class due to the hight degree of the data gravitation produced, and vice versa.en_US
dc.language.isoiden_US
dc.subjectdata gravitation-based classificationen_US
dc.subjectclass imbalanced problemen_US
dc.subjectposterior probabilityen_US
dc.titleKlasifikasi Berbasis Gravitasi Data dan Probabilitas Posterioren_US
dc.typeArticleen_US
Appears in Collections:LSP-Article In Journal

Files in This Item:
File Description SizeFormat 
jurnal 1.pdf4.48 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.