A framework of ensemble artificial neural networks model for classification of large datasets

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dc.contributor.authorMumtazimah Mohamad
dc.date.accessioned2015-06-13T08:12:52Z
dc.date.available2015-06-13T08:12:52Z
dc.date.issued2014-07
dc.description.abstractLarge datasets related tasks are a great challenge for applications that involve massive amounts of data with high dimensional spaces. hence have gained considerable attention in academic research. Due to its enormous size. the datasets poses a more complex problem especially in classification tasks where the datasets have different characteristics. Currently, most machine learning algorithms are able to deal with small to medium sizes of datasets with the use of single memory computer. However, classification of large datasets with the respective algorithms is impractical since it could reduce computer performance and is size-limited for a single processor with one memory.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/3430
dc.language.isoenen_US
dc.publisherTerengganu: Universiti Malaysia Terengganuen_US
dc.subjectQA 76.87 .M8 M3 2014en_US
dc.subjectMumtazimah Mohamaden_US
dc.subjectNeural networks -- Computer scienceen_US
dc.titleA framework of ensemble artificial neural networks model for classification of large datasetsen_US
dc.typeThesisen_US
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