Feature selection for classification: A review

Tang, Jiliang and Alelyani, Salem and Liu, Huan (2014) Feature selection for classification: A review. In: Data Classification: Algorithms and Applications. CRC Press, p. 37.


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Nowadays, the growth of the high-throughput technologies has resulted in exponential growth in the harvested data with respect to both dimensionality and sample size. The trend of this growth of the UCI machine learning repository is shown in Figure 1. Efficient and effective management of these data becomes increasing challenging. Traditionally manual management of these datasets to be impractical. Therefore, data mining and machine learning techniques were developed to automatically discover knowledge and recognize ...

Item Type: Book Section
Subjects: Computer
Computer Sciences
Divisions: College of Computer Sciences > Computer Sciences
Depositing User: Salem Alelyani
Date Deposited: 22 Nov 2015 16:28
Last Modified: 22 Nov 2015 16:28
URI: http://eprints.kku.edu.sa/id/eprint/170

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