Effective Attribute Selection for Multi-dimensional Root Cause Analysis-Reference-Cited by-同舟云学术

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Effective Attribute Selection for Multi-dimensional Root Cause Analysis

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)
language:
Short-container-title:

Author:

Cheng Yiran¹,Cheng Bo²,Jin Pengxiang³,Sun Yongqian³,Nie Xiaohui²,Zhao Nengwen¹,Zhang Shenglin³,Pei Dan¹

Affiliation:

1. Tsinghua University

2. BizSeer

3. Nankai University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978763/9978935/09978978.pdf?arnumber=9978978

Reference25 articles.

1. Feature Selection for Classification of Hyperspectral Data by SVM

2. XGBoost

3. A xgboost risk model via feature se-lection and bayesian hyper-parameter optimization;wang;ArXiv Preprint,2019

4. Boruta – A System for Feature Selection

5. Feature Selection with theBorutaPackage

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