Proceedings of the 2021 6th International Conference on Intelligent Information Technology最新文献

Proceedings of the 2021 6th International Conference on Intelligent Information Technology 2021第六届智能信息技术国际会议论文集

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179

引用次数: 0

Research on Data Query Optimization based on Genetic Algorithm 基于遗传算法的数据查询优化研究

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460182

Fen Li

引用次数: 0

Dynamic Adaptive Chain Model of Knowledge Graph Representation Learning 知识图表示学习的动态自适应链模型

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460194

Jinkui Yao, Yulong Zhao, Song Lu

引用次数: 0

The Influence of Product Recommendation Methods on Users' Purchase Intention 产品推荐方法对用户购买意愿的影响

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460195

Xinyue Wang, Jianxin You, Qiurong Song

{"title":"The Influence of Product Recommendation Methods on Users' Purchase Intention","authors":"Xinyue Wang, Jianxin You, Qiurong Song","doi":"10.1145/3460179.3460195","DOIUrl":"https://doi.org/10.1145/3460179.3460195","url":null,"abstract":"Nowadays, with the rapid development of various fields of e-commerce, scholars gradually focus their research on the online purchase behavior of users. As we step into the era of big data, personalized recommendation function of e-commerce is rising. Many scholars have put forward their own views on the influence of personalized recommendation of platform on users' purchase intention. This study will start from the recommendation behavior of products, take recommendation strength and recommendation validity as the quantitative methods of recommendation behavior, and explore whether platform recommendation and friend recommendation will have different influences on users' purchase intention. In the process of the influence of recommendation behavior on the purchase intention of users, this study believes that trust plays a mediating role. This research applies the knowledge and methods of social psychology, consumer behavior and other disciplines, adopts a multi-dimensional research framework in terms of overall research ideas, and combines theoretical analysis with empirical research. The results show that trust can indeed play a mediating role in the influence of recommendation strength and recommendation validity on users' purchase intention, but recommendation style has no moderating effect on the influence. In view of this conclusion, this paper proposes the possible reasons.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821835","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

Analysis of Best Sampling Strategy in Credit Card Fraud Detection Using Machine Learning 基于机器学习的信用卡欺诈检测中最佳抽样策略分析

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460186

Hanbin Zou

{"title":"Analysis of Best Sampling Strategy in Credit Card Fraud Detection Using Machine Learning","authors":"Hanbin Zou","doi":"10.1145/3460179.3460186","DOIUrl":"https://doi.org/10.1145/3460179.3460186","url":null,"abstract":"∗With the growing use of credit cards, credit fraud becomes a major issue in the finance business. Billions of dollars of loss are caused every year by fraudulent credit card transactions. The best strategy in estimate the loss and detecting fraud situation remains unanswered since public data are scarcely available for confidentiality issues and companies constantly do not disclose the amount of losses due to frauds. Another problem in credit card fraud detection is that the fraud patterns are changing rapidly. This requires fraud detection to be re-evaluated from a reactive to a proactive approach. At the same time, intense interest in applying machine learning in module detection and analysis is widespread. In this regard, the implementation of efficient fraud detection algorithms using machine-learning techniques is key to reduce these losses, and to assist fraud investigators. This article aims to provide some answers by focusing on crucial issues in solving detection in credit card fraud: 1) How to deal with the imbalance in the database by applying SMOTE, Adaptive Synthetic Sampling (ADASYN)Borderline-SMOTE in sampling the data. 2) Random forest, gradient boosting, Logistic Regression,and XGboost are applied to the current public database on credit card and which machine learning method can achieve higher accuracy in the prediction model.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123147369","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: 2

Scalable Peer-to-Peer Fog Computing Integrated to a Fast-Searching Distributed Blockchain System 集成到快速搜索分布式区块链系统的可扩展点对点雾计算

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460185

Michael Omar, Doan Tung Trung

{"title":"Scalable Peer-to-Peer Fog Computing Integrated to a Fast-Searching Distributed Blockchain System","authors":"Michael Omar, Doan Tung Trung","doi":"10.1145/3460179.3460185","DOIUrl":"https://doi.org/10.1145/3460179.3460185","url":null,"abstract":"Internet of Things (IoT) is becoming a promising area to support communication of all type of devices. Blockchain aids to ensure higher security in this field, but the increase in ubiquitous connectivity leads to increase load and hence it requires a perfect search for the nodes. This paper addresses the issue by the design of a three tier P2p fog-IoT architecture using distributed blockchain. The tier-1 employs an authenticator responsible to authenticate IoT nodes with identity, IP address and physical unclonable function (PUF). To balance IoT nodes request, super peers are dynamically selected from multi-criteria ranking based optimal points (MC-RBOP). Further the requests are forwarded to blockchain present in tier-3. In tier-3 the Master node performs storage and searching. Due to the possibility of redundant data storage, Jaro-Winkler measures a similarity in the data before storing it. An Adaptive Chord with fuzzy neural (AC-FNN) is incorporated to search the lightweight U-QUARK algorithm-based hash key-values in the directory. The design of fog-IoT with new chord algorithm is implemented in network simulator-3 and the results are evaluated in terms of latency, response time, blockchain size and network usage.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129292078","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

Resource Utilization Optimization using Genetic Algorithm based on Variation of Resource Fluctuation Moment for Extra-Large Building Renovation 基于资源波动矩变化的超大型建筑改造资源利用遗传算法优化

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460183

Pornpote Nusen, Pratch Piyawongwisal, Sunita Nusen, M. Kaewmoracharoen

{"title":"Resource Utilization Optimization using Genetic Algorithm based on Variation of Resource Fluctuation Moment for Extra-Large Building Renovation","authors":"Pornpote Nusen, Pratch Piyawongwisal, Sunita Nusen, M. Kaewmoracharoen","doi":"10.1145/3460179.3460183","DOIUrl":"https://doi.org/10.1145/3460179.3460183","url":null,"abstract":"This paper compared optimizing resource utilization using Genetic Algorithm (GA) based on variation of resource fluctuation moment (Mx) for extra-large building renovation. The Mx variable, as determined by resource demand on day squared, has a large effect on the result of multi-objective optimization. In this research, an Mx-based optimization model targeting five variables for resource utilization was proposed. In addition, the proposed method is flexible in that the construction planners could specify predecessors or preferences for optional construction sequences so that a more efficient optimal scheduling may be obtained. Three activation functions for Mx were considered, namely Mx, and Mx /1000. In this work, the models in consideration were applied to real data from the university main library building renovation projects which consisted of 251 activities. The contractor's work plan was used as the initial scheduling for the optimization process. When comparing the experimental results from all 3 models, it can be seen that the form and Mx/1000 are more suitable in optimizing resource utilization through GA method in extra-large building renovation.","PeriodicalId":193744,"journal":{"name":"Proceedings of the 2021 6th International Conference on Intelligent Information Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116035406","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 Personalised Recommendation Framework for Ubiquitous Learning System 泛在学习系统的个性化推荐框架

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460190

Saurabh Pal, Pijush Kanti Dutta Pramanik, A. Nayyar, Prasenjit Choudhury

引用次数: 2

Research on the Design of Sports Injury Estimation Model based on Big Data 基于大数据的运动损伤估计模型设计研究

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460180

Y. Dai

引用次数: 0

A Geo-Historical Database for the Historical Photos of Yunnan-Vietnam Railway in China 中国滇越铁路历史照片地理历史数据库

Proceedings of the 2021 6th International Conference on Intelligent Information Technology Pub Date : 2021-02-25 DOI: 10.1145/3460179.3460193

Kun Sang, Guiye Lin, S. Piovan

引用次数: 0