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Anglický jazyk
Large-Scale Arabic Text Classification
Autor: Mohammed M. Abu Tair
Text classification has become one of the most important techniques in text mining. A number of machine learning algorithms have been introduced to deal with automatic text classification. One of the common classification algorithms is the k-NN algorithm... Viac o knihe
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54.63 €
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O knihe
Text classification has become one of the most important techniques in text mining. A number of machine learning algorithms have been introduced to deal with automatic text classification. One of the common classification algorithms is the k-NN algorithm which is known to be one of the best classifiers applied for different languages including Arabic language. However, the k-NN algorithm is of low efficiency because it requires a large amount of computational power. Such a drawback makes it unsuitable to handle a large volume of text documents with high dimensionality and in particular in the Arabic language. This book, therefore, introduces a high performance parallel classifier for large-scale Arabic text that achieves the enhanced level of efficiency, scalability, and accuracy. The parallel classifier based on the sequential k-NN algorithm. We tested the classifier using the OSAC corpus. We studied the performance of the parallel classifier on a multicomputer cluster. The results indicate that the parallel classifier has very good speedups and scalability and is capable of handling large document collections with higher classification results.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2013
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783659347665
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