Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/3430
Title: A framework of ensemble artificial neural networks model for classification of large datasets
Authors: Mumtazimah Mohamad
Keywords: QA 76.87 .M8 M3 2014
Mumtazimah Mohamad
Neural networks -- Computer science
Issue Date: Jul-2014
Publisher: Terengganu: Universiti Malaysia Terengganu
Abstract: Large 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.
URI: http://hdl.handle.net/123456789/3430
Appears in Collections:Pusat Pengajian Informatik dan Matematik Gunaan

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