Int. J. Inf. Technol. Web Eng.最新文献_第2页

Predicting Academic Performance of Immigrant Students Using XGBoost Regressor 用XGBoost回归量预测移民学生学业成绩

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304052

Selvaprabu Jeganathan, Arunraj Lakshminarayanan, Nandhakumar Ramachandran, Godwin Brown Tunze

引用次数: 2

Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML 基于ML的多网络关联的Twitter好友推荐社交网络分析

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304050

Dharmendra Kumar Singh Singh, N. Nithya, L. Rahunathan, Preyal Sanghavi, Ravirajsinh Sajubha Vaghela, Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze

{"title":"Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML","authors":"Dharmendra Kumar Singh Singh, N. Nithya, L. Rahunathan, Preyal Sanghavi, Ravirajsinh Sajubha Vaghela, Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze","doi":"10.4018/ijitwe.304050","DOIUrl":"https://doi.org/10.4018/ijitwe.304050","url":null,"abstract":"The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. The information gathered to make these predictions includes the user's friends, tags, tweets, language spoken, ID, etc. Based on these features, the authors trained their models using supervised learning methods. The machine learning-based approach used for this purpose is the k-nearest neighbor approach. This approach is by and large used to decrease the dimensionality of the information alongside its feature space. K-nearest neighbor classifier is normally utilized in arrangement-based situations to recognize and distinguish between a few parameters. By using this, the features of the central user's non-friends were compared. The friends and communities of a user are likely to be very different from any other user. Due to this, the authors select a single user and compare the results obtained for that user to suggest friends.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296850","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: 16

Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network 基于自我网络的多层语义建模的社交网络用户分析

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304049

P. Tamilselvi, Kishore Balasubramaniam, S. Vidhya, N. Jayapandian, K. Ramya, M. Poongodi, Mounir Hamdi, Godwin Brown Tunze

引用次数: 13

SCNTA: Monitoring of Network Availability and Activity for Identification of Anomalies Using Machine Learning Approaches SCNTA:使用机器学习方法监测网络可用性和异常识别活动

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.297971

Romil Rawat, Bhagwati Garg, Kiran Pachlasiya, V. Mahor, Shrikant Telang, Mukesh Chouhan, Surendra Kumar Shukla, Rina Mishra

{"title":"SCNTA: Monitoring of Network Availability and Activity for Identification of Anomalies Using Machine Learning Approaches","authors":"Romil Rawat, Bhagwati Garg, Kiran Pachlasiya, V. Mahor, Shrikant Telang, Mukesh Chouhan, Surendra Kumar Shukla, Rina Mishra","doi":"10.4018/ijitwe.297971","DOIUrl":"https://doi.org/10.4018/ijitwe.297971","url":null,"abstract":"Real-time network inspection applications face a threat of vulnerability as high-speed networks continue to expand. For companies and ISPs, real-time traffic classification is an issue. The classifier monitor is made up of three modules: Capturing_of_Packets (CoP) and pre-processing, Reconciliation_of_Flow (RoF), and categorization of Machine Learning (ML). Based on parallel processing along with well-defined interfacing of data, the modules are framed, allowing each module to be modified and upgraded separately. The Reconciliation_of_Flow (RoF) mechanism becomes the output bottleneck in this pipeline. In this implementation, an optimal reconciliation process was used, resulting in an average delivery time of 0.62 seconds. In order to verify our method, we equated the results of the AdaBoost Ensemble Learning Algorithm (ABELA), Naive Bayes (NB), Decision Tree (DT), K-Nearest Neighbor (KNN), and Flexible Naive Bayes (FNB) in the classification module. The architectural design of the run time CSNTA categorization (flow-based) scheme is presented in this paper.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295430","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

Winning the War on Terror: Using "Top-K" Algorithm and CNN to Assess the Risk of Terrorists 赢得反恐战争:使用“Top-K”算法和CNN来评估恐怖分子的风险

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.288038

Yaojie Wang, Xiaolong Cui, Peiyong He

引用次数: 0

Autocorrelation Regression Model Analysis and Selection of Cross-Border RMB Settlement From 2011 to 2020 2011 - 2020年跨境人民币结算的自相关回归模型分析与选择

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.314569

Cheng Zhang, Nianjia Hu, Qiang Yan

引用次数: 0

Time Effective Cloud Resource Scheduling Method for Data-Intensive Smart Systems 面向数据密集型智能系统的时效性云资源调度方法

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.306915

J. Duan, Yan Li, L. Duan, Ajay Sharma

引用次数: 0

An Attendance System Using the Face Extraction and Recognition Technique Using PCA Algorithm 基于PCA算法的人脸提取与识别系统

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.315291

Mazin S. Mohammed, R. Alothman

引用次数: 0

Malware Threat Affecting Financial Organization Analysis Using Machine Learning Approach 利用机器学习方法分析影响金融组织的恶意软件威胁

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304051

Romil Rawat, Yagyanath Rimal, P. William, Snehil Dahima, Sonali Gupta, K. Sankaran

引用次数: 30

An Integrated Remote Control-Based Human-Robot Interface for Education Application 基于集成远程控制的人机界面在教育中的应用

Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.306916

Xuetao Duan, Yun-ling Wang, Wei Dou, Rajeev Kumar, Niti Saluja

引用次数: 0