Papers by Satish Chadokar
Internet traffic defines as the density of data or information presented on the Internet or in an... more Internet traffic defines as the density of data or information presented on the Internet or in another language we can say it’s a flow of data on the internet. Internet traffic classification has power to solve many network difficulties and manage different type of network problems. There are some basic functions provided to government, Internet service providers (ISPs) and network administrator through Internet traffic classification. Machine learning approaches overcome many problems of traditional approaches of internet traffic classification. In supervised approaches, we discuss five well known supervised machine learning approaches these are Naïve Bayes, Feed Forward Neural Network, Bayes Net, RBF and C4.5 decision tree approach. Keywords— ―ISP, ML, DAG, RBF, FCBF, BOF‖
Uploads
Papers by Satish Chadokar