Evolutionary Generative Adversarial Network for Missing Data Imputation

Proceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 12-22.

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Detaylı Bibliyografya
Asıl Yazarlar:	Vi, Bao Ngoc, Tran, Cao Truong, Nguyen, Chi Cong
Materyal Türü:	Bài viết
Dil:	English
Baskı/Yayın Bilgisi:	Vietnam-Korea University of Information and Communication Technology 2023
Konular:	Missing Data Imputation Generative Adversarial Network Evolutionary Computation
Online Erişim:	http://elib.vku.udn.vn/handle/123456789/2704
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Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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spelling	oai:elib.vku.udn.vn:123456789-27042023-09-25T08:26:07Z Evolutionary Generative Adversarial Network for Missing Data Imputation Vi, Bao Ngoc Tran, Cao Truong Nguyen, Chi Cong Missing Data Imputation Generative Adversarial Network Evolutionary Computation Proceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 12-22. Generative adversarial networks (GAN) have been a compelling method for generating new data in data science industry. This generative model has been accepted for data imputation in specific areas. However, existing GANs (GAN and its variants) are likely to suffer from training problems such as instability and mode collapse. This paper proposes a new novel method for imputing missing data by adapting GAN and Evolutionary Computation framework. Therefore, the new methods is named Evolutionary Generative Adversarial for Imputation Data (EGAIN). EGAIN utilises the different training observations with mutation, selection, and evolving process among a population of generator G. In this experiment, three different loss functions is used to validate the output of G and the training process of discriminator D. EGAIN is also tested on various datasets and is compared with state-of-the-art imputation method for illustrating its performance. 2023-09-25T08:25:59Z 2023-09-25T08:25:59Z 2023-06 Working Paper 978-604-80-8083-9 http://elib.vku.udn.vn/handle/123456789/2704 en CITA; application/pdf Vietnam-Korea University of Information and Communication Technology
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	Missing Data Imputation Generative Adversarial Network Evolutionary Computation
spellingShingle	Missing Data Imputation Generative Adversarial Network Evolutionary Computation Vi, Bao Ngoc Tran, Cao Truong Nguyen, Chi Cong Evolutionary Generative Adversarial Network for Missing Data Imputation
description	Proceeding of The 12th Conference on Information Technology and It's Applications (CITA 2023); pp: 12-22.
format	Working Paper
author	Vi, Bao Ngoc Tran, Cao Truong Nguyen, Chi Cong
author_facet	Vi, Bao Ngoc Tran, Cao Truong Nguyen, Chi Cong
author_sort	Vi, Bao Ngoc
title	Evolutionary Generative Adversarial Network for Missing Data Imputation
title_short	Evolutionary Generative Adversarial Network for Missing Data Imputation
title_full	Evolutionary Generative Adversarial Network for Missing Data Imputation
title_fullStr	Evolutionary Generative Adversarial Network for Missing Data Imputation
title_full_unstemmed	Evolutionary Generative Adversarial Network for Missing Data Imputation
title_sort	evolutionary generative adversarial network for missing data imputation
publisher	Vietnam-Korea University of Information and Communication Technology
publishDate	2023
url	http://elib.vku.udn.vn/handle/123456789/2704
_version_	1849196865796440064

Evolutionary Generative Adversarial Network for Missing Data Imputation

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