@inproceedings{0a17259e04a94283af14a27dd209eec8,
title = "Clustering Web Users Based on K-means Algorithm for Reducing Time Access Cost",
keywords = "K-Means, Residual Sum of Squares (RSS), Similarity, Uniform Resource Locator (URL), Vector Matrix, web usage mining (WUM), Web User Clustering",
author = "Maged Nasser and Hentabli Hamza and Naomie Salim and Faisal Saeed",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference of Intelligent Computing and Engineering, ICOICE 2019 ; Conference date: 15-12-2019 Through 16-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICOICE48418.2019.9035190",
language = "English",
series = "2019 1st International Conference of Intelligent Computing and Engineering: Toward Intelligent Solutions for Developing and Empowering our Societies, ICOICE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 1st International Conference of Intelligent Computing and Engineering",
}