A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS

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ROUHI A.; NEZAMABADI POUR H.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2018 | Volume:15 | Issue:4 Page(s): 283-294

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Title

A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS

Author(s)

ROUHI A. | NEZAMABADI POUR H. | Issue Writer Certificate

Keywords

FEATURE SELECTIONQ1

HIGH-DIMENSIONAL DATA; HYBRID METHODSQ1

META-HEURISTIC METHODSQ1

FILTER METHODSQ1

WRAPPER METHODSQ1

ENSEMBLE METHODSQ1

Abstract

Nowadays, with the advent and proliferation of high-dimensional data, the process of FEATURE SELECTION plays an important role in the domain of machine learning and more specifically in the classification task. Dealing with high-dimensional data, e.g. microarrays, is associated with problems such as increased presence of redundant and irrelevant features, which leads to decreased classification accuracy, increased computational cost, and the curse of dimensionality. In this paper, a hybrid method using ENSEMBLE METHODS for FEATURE SELECTION of high dimensional data, is proposed. In the proposed method, in the first stage, a filter method reduces the dimensionality of features and then, in the second stage, two state-of-the-art WRAPPER METHODS run on the subset of reduced features using the ensemble technique. The proposed method is benchmarked using 8 microarray datasets. The comparison results with several state-of-the-art FEATURE SELECTION methods confirm the effectiveness of the proposed approach.

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APA: Copy

ROUHI, A., & NEZAMABADI POUR, H.. (2018). A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 15(4 ), 283-294. SID. https://sid.ir/paper/228471/en

Vancouver: Copy

ROUHI A., NEZAMABADI POUR H.. A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2018;15(4 ):283-294. Available from: https://sid.ir/paper/228471/en

IEEE: Copy

A. ROUHI, and H. NEZAMABADI POUR, “A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 15, no. 4 , pp. 283–294, 2018, [Online]. Available: https://sid.ir/paper/228471/en

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