Cited By
View all- Liu T(2021)Cross-Border Internet of Things E-Commerce Warehouse Control System Based on TRIZ TheoryScientific Programming10.1155/2021/26565082021Online publication date: 18-Dec-2021
Research on Data Integrity of E-commerce Platforms in the Internet of Things under Cross-border
Pages 646 - 651
Abstract
Cross-border e-commerce is undergoing in-depth integration and innovation within and across industries, and traditional e-commerce trading platforms have been incapable to meet the requirement of e-commerce development. Moreover, the construction of an innovation ecosystem is being stepped up. By integrating existing resources and strengthening information sharing and exchanges between enterprises, a new idea of jointly building an innovation ecosystem is put forward to creat a collaborative and integrated development model. Therefore, an improved IVAEGAN-based fuzzy clustering algorithm for incomplete data (IVAEGAN-FCM) is proposed based on the Internet of Things, which can better extract the hidden features and data distribution in the data. Besides, the Nash equilibrium of the generator and the discriminator are applied to make the generated data more accurate, and VAE is used as the GAN generator to construct a new generative model. In addition, in order to obtain more effective information, the incomplete data set is reconstructed to select the nearest neighbor sample set for the missing data according to the nearest neighbor rule, and the median value of its attribute is used as the missing sample label. The label variables are added to the IVAEGAN model training to improve the accuracy of the valuation.
References
[1]
Zhong G Q, Gao W, Liu Y B, Yang Y Z. Generative adversarial networks with decoder--encoder output noises[J]. Neural Networks, 2020, 127:19--28
[2]
Yoon J, Jordon J, Mihaela S. GAIN: Missing Data Imputation using Generative Adversarial Nets[J]. arXiv preprint arXiv:1808.02920, 2018.
[3]
Martin A, Soumith C, Bottou L. Wasserstein GAN[J]. arXiv preprint arXiv:1701.07875v3, 2018.
[4]
Mihaela R, Balaji L, David W, Shakir M. Variational Approaches for Auto-Encoding Generative Adversarial Networks[J]. arXiv preprint arXiv: 1706.04987v2, 2017.
[5]
Du C D, Li J P, Huang L J, He H G. Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models[J]. Engineering, 2019, 5(5):948--953.
[6]
Chen S M, Yu J B, Wang S J. One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes[J]. Journal of Process Control, 2020, 87:54--67.
[7]
Ahmad M K, Mehmet S G, Mehmet R T, Hilal K. A new framework using deep auto-encoder and energy spectral density for medical waveform data classification and processing [J]. Biocybernetics and Biomedical Engineering, 2019, 39(1):148--159.
[8]
Tang L J, Zheng S C, Zhou Z G. Estimation and inference of combining quantile and least-square regressions with missing data [J]. Journal of the Korean Statistical Society, 2018, 47(1):77--89.
[9]
Liu X J, Zhang H, Niu Y G, Zeng D L. Modeling of an ultra-supercritical boilerturbinesystem with stacked denoising auto-encoder and long short-term memory network [J]. Information Sciences, 2020, 525(1):143--152.
[10]
Chen G, Wang H, Jian T, Xu C, Sun S. Method for denoising and reconstructing radar HRRP using modified sparse auto-encoder[J]. Chinese Journal of Aeronautics, 2020, 33(3):1026--1036.
[11]
Gao Z S, Shen C, Xie C Z. Stacked convolutional auto-encoders for single space target image blind deconvolution[J]. Neurocomputing, 2018, 313(3):295--305.
Index Terms
- Research on Data Integrity of E-commerce Platforms in the Internet of Things under Cross-border
Recommendations
Multi-level Data Integrity Model with Dual Immutable Digital Key Based Forensic Analysis in IoT Network
AbstractOver the last decade, the proliferation of Internet of Things (IoT) devices has risen dramatically. The exponential growth of IoT device ecosystems has led to a rise in the risks and cybercrimes associated with the IoT. Because of their ...
A blockchain internet of things data integrity detection model
AISS '19: Proceedings of the 1st International Conference on Advanced Information Science and SystemThe Industrial Internet of Things (IIoT) plays an indispensable role in Industry 4.0. People are committed to a universal, scalable, and secure IIoT system for use in a variety of industries. However, existing IIoT systems are not prone to provide stable ...
Integrating the Internet of Things Into E-Commerce: The Role of Trust, Privacy, and Data Confidentiality Concerns in Consumer Adoption
The emergence of the internet of things (IoT) is changing the behavior of people, companies, and their businesses. The IoT can enhance e-commerce by reducing the gaps between the virtual and physical worlds. Although the integration of the IoT into e-...
Comments
Information & Contributors
Information
Published In
June 2021
807 pages
ISBN:9781450390231
DOI:10.1145/3473714
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
In-Cooperation
- Chongqing Univ.: Chongqing University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 August 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICCIR 2021
ICCIR 2021: 2021 International Conference on Control and Intelligent Robotics
June 18 - 20, 2021
Guangzhou, China
Acceptance Rates
ICCIR '21 Paper Acceptance Rate 131 of 239 submissions, 55%;
Overall Acceptance Rate 131 of 239 submissions, 55%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 32Total Downloads
- Downloads (Last 12 months)6
- Downloads (Last 6 weeks)1
Reflects downloads up to 26 Sep 2024
Other Metrics
Citations
Cited By
View all- Liu T(2021)Cross-Border Internet of Things E-Commerce Warehouse Control System Based on TRIZ TheoryScientific Programming10.1155/2021/26565082021Online publication date: 18-Dec-2021
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in