Feature selection based on artificial bee colony and gradient boosting decision tree

Data from many real-world applications can be high dimensional and features of such data are usually highly redundant. Identifying informative features has become an important step for data mining to not only circumvent the curse of dimensionality but to reduce the amount of data for processing. In...

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Bibliographic Details
Published inApplied soft computing Vol. 74; pp. 634 - 642
Main Authors Rao, Haidi, Shi, Xianzhang, Rodrigue, Ahoussou Kouassi, Feng, Juanjuan, Xia, Yingchun, Elhoseny, Mohamed, Yuan, Xiaohui, Gu, Lichuan
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2019
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