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Published in: Cluster Computing 2/2019

29-01-2018

Method and application of data defect analysis based on linear discriminant regression of far subspace

Author: Wendai Lv

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

In order to improve effectiveness of analysis algorithm for internal control deficiency in familiar listed companies, an analysis method of internal control deficiency in familiar listed companies based on linear discriminant regression of far subspace was proposed. Firstly, influencing effect model of internal control deficiency disclosure on corporate executive compensation level and compensation-performance sensitivity was built and analyzed; secondly, closest subspace classifier was used to measure the relationship between internal control deficiency of familiar listed companies and single class based on linear discriminant regression, and algorithm development based on farthest distance between source vector and projection vector was implemented; finally, effectiveness of proposed methods was verified by empirical analysis.

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Metadata
Title
Method and application of data defect analysis based on linear discriminant regression of far subspace
Author
Wendai Lv
Publication date
29-01-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1861-4

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