Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science最新文献_第2页

Research on Perceptual Data Processing Technology and Its Practice Model Based on Internet of Things Engineering 基于物联网工程的感知数据处理技术及其实践模型研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584764

Jun Zhang, Shujing Zhang, Yanping Tan, Yong Luo

引用次数: 0

Application and Optimization Analysis of Decision Tree Algorithm Based on Variable Precision Rough Set 基于变精度粗糙集的决策树算法的应用与优化分析

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584789

Yan-Hang Xie

{"title":"Application and Optimization Analysis of Decision Tree Algorithm Based on Variable Precision Rough Set","authors":"Yan-Hang Xie","doi":"10.1145/3584748.3584789","DOIUrl":"https://doi.org/10.1145/3584748.3584789","url":null,"abstract":"With the huge data population of college graduates, the employment situation is complicated. How to analyze these data, the main factors affecting employment, and the results of these analysis have become the focus of research in major universities. At present, some scholars have applied algorithms such as decision tree-based, rough set-based, and rough set-based decision tree models to employment data analysis, but these algorithms cannot solve non-consistent decision tables well, but in practice, There is inconsistency in employment information. This topic mainly uses the decision tree algorithm of Variable Precision Rough Set (VPRS) to analyze the historical data of graduates, and excavates some reasonable laws that affect the employment of students, which are further applied to colleges and universities. In the employment guidance work, guide students to be more fully employed with higher quality. The decision tree algorithm is the most common method in the classification and discovery algorithm in data mining. For the different problems in the employment data, this topic mainly uses the rushing car tree algorithm of Variable Precision Rough Set (VPRS) to analyze the historical data of graduates. to dig. The method uses the measure of the classification quality of VPRS as an information function, selects conditional attributes, divides the data set from top to bottom, fully considers the dependencies and redundancy between attributes, can effectively deal with inconsistent data sets, and analyzes employment data. Reasonable classification, so as to find out the main factors affecting the employment of students, and apply the results to the employment guidance work of colleges and universities, provide decision-making suggestions and data support for college employment guidance and management, and achieve higher quality and full employment of college graduates.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121871938","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

Evaluation of learning effect based on data analysis and BOPPPS teaching model 基于数据分析和BOPPPS教学模式的学习效果评价

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584757

Zhaomin Li, Shangheng Zhou

引用次数: 0

Research on building regression model based on capability improvement 基于能力改进的回归模型构建研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584776

J. Lv, Yizhuang Liu, Shinan Mo

引用次数: 0

Research on the balance of social mobile media in information ecosystem based on synergy theory in the context of big data 大数据背景下基于协同理论的移动社交媒体信息生态平衡研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584754

L. Ye, Xiaolan Hu

引用次数: 0

Research on the Factors Influencing the Financing Efficiency of China's Tourism Listed Companies Based on Logit Model 基于Logit模型的中国旅游上市公司融资效率影响因素研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584792

Yaling Liu

{"title":"Research on the Factors Influencing the Financing Efficiency of China's Tourism Listed Companies Based on Logit Model","authors":"Yaling Liu","doi":"10.1145/3584748.3584792","DOIUrl":"https://doi.org/10.1145/3584748.3584792","url":null,"abstract":"This paper takes 24 tourism listed companies in China as the research object, based on the panel data from 2011 to 2019, uses the super SBM model to measure the financing efficiency, further uses the Logit model to analyze the nine influencing factors of financing efficiency, and draws the following conclusions: (1) The financing efficiency of tourism listed companies in China is slightly low as a whole, and the development trend is stable; The ratio of efficient tourism listed companies shows an inverted U-shaped curve, with the peak of only 50%. (2) The financing efficiency of different tourism sectors is quite different. The average financing efficiency and the ratio of Effective efficiency are: Catering > comprehensive > scenic spots > hotels. (3) Among the nine influencing factors measured, consumer price index(CPI), main business revenue growth rate(MIGR), asset liability ratio(DAR) and total asset turnover(TAT) have different degrees of significant impact on the financing efficiency of tourism listed companies. Among them, consumer price index(CPI) and asset liability ratio(DAR) play a negative role, while main business revenue growth rate(MIGR)and total asset turnover(TAT) play a positive role.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121669905","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

Research on Managerial Ability and Firm Performance of Listed Tourism Companies Based on Moderating Effect of Equity Incentives 基于股权激励调节效应的旅游上市公司管理能力与企业绩效研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584806

Shanxiang Liang, Peng Lei, Mengqi Yang

引用次数: 0

Improved Binary Particle Swarm Optimization Based on Multi-Exemplar and Forgetting Ability Applied to Feature Selection 基于多样本和遗忘能力的改进二元粒子群算法在特征选择中的应用

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584786

Huixian Qiu, Lei Tong, Chengjin Yan, Xuewen Xia, Jian Ding

{"title":"Improved Binary Particle Swarm Optimization Based on Multi-Exemplar and Forgetting Ability Applied to Feature Selection","authors":"Huixian Qiu, Lei Tong, Chengjin Yan, Xuewen Xia, Jian Ding","doi":"10.1145/3584748.3584786","DOIUrl":"https://doi.org/10.1145/3584748.3584786","url":null,"abstract":"Feature selection can eliminate irrelevant, redundant, and misleading features in the data set, and improve the classification performance of machine learning algorithms while reducing their computational consumption, effectively avoiding \"dimensional disasters\". The multi-exemplar particle swarm optimization algorithm with forgetting capability (XPSO) has achieved good performance in function optimization, but has not been applied to the feature selection problem of binary variables. In this paper, an XPSO based on binary encoding, named Binary XPSO (BXPSO) is proposed to solve the optimal feature subset. The algorithm also proposes a local search strategy to improve the forgetting ability of different particles, balancing the local exploitation and global exploration of the algorithm. To verify the effectiveness of the proposed algorithm, multiple sets of simulation experiments with different perspectives are conducted on the proposed method in this paper using classical datasets from the UCI machine learning repository constituting feature selection problems of different dimensions. The experimental results show that the algorithm has competitive advantages in terms of classification accuracy and computational performance.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130800887","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

A study on the influence of digital painting image quality on visual art and style classification Based on the sparse encoding algorithm 基于稀疏编码算法的数字绘画图像质量对视觉艺术和风格分类的影响研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584799

Liu Dan

引用次数: 0

Research on MOOC Course Design for College Students Based on Collaborative Filtering Algorithm 基于协同过滤算法的大学生MOOC课程设计研究

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI: 10.1145/3584748.3584763

Ye Liu

引用次数: 0