Data mining file sharing metadata : A comparison between Random Forests Classification and Bayesian Networks

Data mining file sharing metadata : A comparison between Random Forests Classification and Bayesian Networks

In this comparative study based on experimentation it is demonstrated that the two evaluated machine learning techniques, Bayesian networks and random forests, have similar predictive power in the domain of classifying torrents on BitTorrent file sharing networks.This work was performed in two steps...

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Bibliographic Details
Main Author: Petersson, Andreas
Format: Others
Language:English
Published: Högskolan i Skövde, Institutionen för informationsteknologi 2015
Subjects:
Machine learning
random forests
Bayesian networks
Bit Torrent
file sharing
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11285

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11285

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