Intelligent web proxy caching approaches based on machine learning techniques

• Main Authors: Ali, Waleed, Shamsuddin, Siti Mariyam, Ismail, Abdul Samad
• Format: Article
• Published: 2012
• Subjects: QA76 Computer software
• Online Access: http://eprints.utm.my/id/eprint/47115/; http://dx.doi.org/10.1016/j.dss.2012.04.011

In this paper, machine learning techniques are used to enhance the performances of conventional Web proxy caching policies such as Least-Recently-Used (LRU), Greedy-Dual-Size (GDS) and Greedy-Dual-Size-Frequency (GDSF). A support vector machine (SVM) and a decision tree (C4.5) are intelligently inco...