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Asim et al., 2017 - Google Patents

Comparison of feature selection methods in text classification on highly skewed datasets

Asim et al., 2017

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Document ID
2846776318656217893
Author
Asim M
Wasim M
Ali M
Rehman A
Publication year
Publication venue
2017 First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT)

External Links

Snippet

Feature selection plays a vital role in boosting the performance of a classifier. The aim of feature selection is to remove irrelevant features and choose only highly invidious ones thus improving the performance of classification. This paper compares the performance of nine …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
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