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dc.contributorVirginia Tech. Digital Library Research Laboratoryen_US
dc.contributorVirginia Tech. Department of Computer Scienceen_US
dc.contributor.authorAlam, Maksudulen_US
dc.contributor.authorArifuzzaman, S. M.en_US
dc.contributor.authorBhuiyan, Md Hasanuzzamanen_US
dc.contributor.editorFox, Edward A.en_US
dc.contributor.editorChitturi, Kiranen_US
dc.contributor.editorKanan, Tareken_US
dc.date.accessioned2015-05-22T14:18:55Z
dc.date.available2015-05-22T14:18:55Z
dc.date.issued2012-11-06
dc.identifier.urihttp://hdl.handle.net/10919/52538
dc.description.abstractThis module focuses on classification of text using Apache Mahout. After successful completion of this module, students will be able to explain and apply methods of classification, correctly classify a set of documents using Apache Mahout, and construct and apply workflows for text classification using Apache Mahout.en_US
dc.format.extent8 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesDigital Library Curriculum Projecten_US
dc.subjectComputer scienceen_US
dc.subjectDigital librariesen_US
dc.subjectText classificationen_US
dc.subjectApache mahouten_US
dc.subjectNaive bayesen_US
dc.titleText Classification Using Mahouten_US
dc.typeLearning objecten_US
dc.description.notesCS 5604: Information Storage and Retrievalen_US
dc.identifier.urlhttp://curric.dlib.vt.edu/modDev/lucidworks_modules/CS5604F2012Module-LucidWorks-text-classification-Mahout.pdfen_US
dc.type.dcmitypeTexten_US


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