Link Prediction for Social Network Analysis Using Random Forest and XG-Boost Algorithm

被引：0
|
作者：
Chaubey, Ved Prakash [1 ]
Sharma, Ajay [1 ]
Sharma, Tushar [2 ]
Sharma, Shamneesh [1 ]
Kumar, Aman [1 ]
机构：
[1] UpGrad Education Private Limited, UpGrad Campus, Karanataka, Bangalore, India
[2] Lovely Professional University, School of CSE, Jalandhar, Punjab, India
来源：
Proceedings of 2023 2nd International Conference on Informatics, ICI 2023 | 2023年
关键词：
461.4 Ergonomics and Human Factors Engineering - 723 Computer Software; Data Handling and Applications - 723.4.2 Machine Learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
27
引用
收藏
相关论文
共 50 条
  • [31] Mobile Network User Perception Prediction based on Random Forest Algorithm
    Qiao, Jinjian
    Zhu, Jiajia
    Cheng, Xinzhou
    Xu, Lexi
    Lyu, Feibi
    Liu, Liang
    Wang, Zhaoning
    Di, Zixiang
    2021 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DISASTER MANAGEMENT (ICT-DM), 2021, : 43 - 48
  • [32] Link quality prediction based on random forest
    Liu L.
    Gao S.
    Shu J.
    Tongxin Xuebao/Journal on Communications, 2019, 40 (04): : 202 - 211
  • [33] Student course grade prediction using the random forest algorithm: Analysis of predictors' importance
    Nachouki, Mirna
    Mohamed, Elfadil A.
    Mehdi, Riyadh
    Abou Naaj, Mahmoud
    TRENDS IN NEUROSCIENCE AND EDUCATION, 2023, 33
  • [34] Analysis of Link Prediction Method in Mobile Social Network
    Jie, Liu
    2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015), 2015, : 145 - 148
  • [35] Taxonomy of Link Prediction for Social Network Analysis: A Review
    Yuliansyah, Herman
    Othman, Zulaiha Ali
    Bakar, Azuraliza Abu
    IEEE ACCESS, 2020, 8 (01) : 183470 - 183487
  • [36] Prediction of Aptamer Protein Interaction Using Random Forest Algorithm
    Manju, N.
    Samiha, C. M.
    Kumar, S. P. Pavan
    Gururaj, H. L.
    Flammini, Francesco
    IEEE ACCESS, 2022, 10 : 49677 - 49687
  • [37] Accurate prediction of sugarcane yield using a random forest algorithm
    Yvette Everingham
    Justin Sexton
    Danielle Skocaj
    Geoff Inman-Bamber
    Agronomy for Sustainable Development, 2016, 36
  • [38] Prediction of PKCθ Inhibitory Activity Using the Random Forest Algorithm
    Hao, Ming
    Li, Yan
    Wang, Yonghua
    Zhang, Shuwei
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2010, 11 (09) : 3413 - 3433
  • [39] Software maintainability prediction using an enhanced random forest algorithm
    Gupta, Shikha
    Chug, Anuradha
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2020, 23 (02): : 441 - 449
  • [40] Accurate prediction of sugarcane yield using a random forest algorithm
    Everingham, Yvette
    Sexton, Justin
    Skocaj, Danielle
    Inman-Bamber, Geoff
    AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2016, 36 (02)
12345