Separating Interleaved HTTP Sessions Using a Stochastic Model
Marko Poženel, Viljan Mahnič, Matjaž Kukar · 2010
We describe a novel method for interleaved HTTP session reconstruction based on first order Markov model. Interleaved session is generated by a user who is concurrently browsing a web site in two or more web sessions (browser windows). In order to assure data quality for subsequent phases in analyzing user’s browsing behavior, such sessions need to be separated in advance. We propose a separating process based on trained first order Markov chains. We develop a testing method based on various measures of reconstructed sessions similarity to original ones. We evaluate the developed method on two real world clickstream data sources: a web shop and a university student records information system. Preliminary results show that the proposed method performs well. Povzetek: V članku predstavljamo metodo za razpletanje prepletenih HTTP sej s pomočjo markovskega modela. 1