2021 International Conference on Computer Engineering and Application (ICCEA)最新文献_第6页

Pedestrian fusion tracking method based on multimodal information com-plementation 基于多模态信息互补的行人融合跟踪方法

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00028

Zhang Xue, Li Yi, Zuo Jie, Liu Shiqian

引用次数: 0

KVM PT Based Coverage Feedback Fuzzing for Network Key Devices 基于KVM PT的网络关键设备覆盖反馈模糊测试

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00025

L. Zhiqiang, Peng Jianshan, Bi Yechuan, Liang Xiaowei

引用次数: 0

A News Title Generation Method Based on UNILM Framework via Adversarial Training 基于UNILM框架的对抗训练新闻标题生成方法

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00014

Yue Heng

引用次数: 0

Predictive analysis of the loss of online shopping users based on data mining 基于数据挖掘的网购用户流失预测分析

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00029

Ziping Liu

{"title":"Predictive analysis of the loss of online shopping users based on data mining","authors":"Ziping Liu","doi":"10.1109/ICCEA53728.2021.00029","DOIUrl":"https://doi.org/10.1109/ICCEA53728.2021.00029","url":null,"abstract":"In the fast-changing Internet era, the advantages of e-commerce over traditional shopping models are becoming more and more obvious, and convenient and fast online shopping patterns are attracting more and more users. At the same time, large-scale transactions and demand between e-commerce competition is becoming increasingly fierce, inter-enterprise competition on the one hand to promote the development of e-commerce, at the same time, but also accelerate the survival of e-commerce. Enterprise competition has intensified, customers to the enterprise, has become the most important resource, how to attract customers and retain customers has become the focus of the enterprise, which also makes customer loss become the concern of many enterprises. E-commerce companies in order to ensure their own healthy development in the fierce competition market, not only to make their products attractive, but also in-depth understanding of user preferences and satisfaction, the user’s behavior characteristics of in-depth exploration. E-commerce user behavior instability is greater, the churn rate is high, then, can we find customers in time before the loss, while helping the marketing department to target the loss of customer base and develop appropriate marketing programs is an important work of the enterprise marketing department.It is an important work in the daily operation and management of e-commerce enterprises to predict the loss of users more accurately, to implement targeted retention strategies for users who are at greater risk of loss, and to reduce the churn rate. In these areas, data mining can help businesses. In this paper, data mining technology is applied to business analysis to predict the loss of Tmall users within a certain period of time, so as to implement retention strategy and reduce the churn rate.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124847543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Location Method of Smoke Pollution Source based on LMBP Neural Network 基于LMBP神经网络的烟雾污染源定位方法

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00027

Jianwu Long, Jiangzhou Zhu, Xinyu Feng, Tong Li, Xinlei Song

引用次数: 0

An Effective Integrated Intrusion Detection Model Based on Deep Neural Network 基于深度神经网络的有效集成入侵检测模型

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00037

Wei Wan, Z. Peng, Jinxia Wei, Jing Zhao, Chun Long, Guanyao Du

{"title":"An Effective Integrated Intrusion Detection Model Based on Deep Neural Network","authors":"Wei Wan, Z. Peng, Jinxia Wei, Jing Zhao, Chun Long, Guanyao Du","doi":"10.1109/ICCEA53728.2021.00037","DOIUrl":"https://doi.org/10.1109/ICCEA53728.2021.00037","url":null,"abstract":"With the rapid development of big data and cloud computing, network security threats are also growing. More and more researchers pay attention to the study of intrusion detection algorithms. Traditional intrusion detection algorithms are often unable to detect attacks with high dimensional and imbalanced data as input training data. In order to solve the problem above, this paper proposes an integrated intrusion detection model based on deep neural network. Furthermore, model integration solves the problem of sample imbalance and improves the generalization ability of the model. In this paper, we firstly use Generative Adversarial Networks(GAN) model to sample dataset. Then, multiple deep neural network (DNN) classifiers are established and special screening of the classifiers was carried out. Afterwards, all DNN classifiers were integrated based on AdaBoost integration algorithm. During the training of DNN classifiers, the training samples are sampled through an antagonistic generation network, which reduce the impact of data imbalance on classification performance of DNN classifiers. Finally, by conducting experiments with KDD 99 and NS-KDD data sets, the good stability and high accuracy of proposed model are verified.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126657011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[Copyright notice] (版权)

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/iccea53728.2021.00003

引用次数: 0

Radar-Communication Integrated Conformal Array Antenna Sharing Design 雷达-通信集成共形阵列天线共享设计

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00092

Zhiyong Li, H. Lou, Wenting Han, Yang Fan

引用次数: 0

Research on multiple observation stations target tracking based on UKF algorithm 基于UKF算法的多观测站目标跟踪研究

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00051

Lieping Zhang, Zhihao Li, Shenglan Zhang, Yanlin Yu, Yong Liang, Zuqiong Zhang

引用次数: 0

Numerical simulation of aerodynamic force and moored state in airship transport process 飞艇运输过程中气动力和系泊状态的数值模拟

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00034

Yuan Liu, Baogang Geng, Yongdong Zhang, Z. Wang, Du Lu, Xuan Yao

引用次数: 0