Ranking Web-Based Partial Orders by Significance Using a Markov Reference Model

Mining web traffic data has been addressed in literature mostly using sequential pattern mining techniques. Recently, a more powerful pattern called partial order was introduced, with the hope of providing a more compact result set. A further approach towards this goal, valid for both sequential pat...

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Bibliographische Detailangaben

Hauptverfasser:	Speiser, M., Antonini, G., Labbi, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Absorption Computational modeling Data mining Markov Markov processes partial order pattern poset Probability ranking significance statisstatistical test Transient analysis web
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