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dc.contributor.authorZailani, Abdullah-
dc.contributor.authorMd Yazid, Mohd Saman-
dc.contributor.authorBasyirah, Karim-
dc.contributor.authorTutut, Herawan-
dc.date.accessioned2017-04-10T07:35:18Z-
dc.date.available2017-04-10T07:35:18Z-
dc.date.issued2016-
dc.identifier.citation213-223 p.en_US
dc.identifier.isbn978-3-319-51281-5-
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-319-51281-5_22-
dc.identifier.urihttp://hdl.handle.net/123456789/5582-
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.titleFCA-ARMM: A Model for Mining Association Rules from Formal Concept Analysisen_US
dc.title.alternativeRecent Advances on Soft Computing and Data Miningen_US
dc.typeBook chapteren_US
Appears in Collections:Books Chapter

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