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  "Title": "Web Data Analysis by Bayesian Mixture of Markov Models",
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  "Description": "Designed for web usage data analysis, it implements tools\nto process web sequences and identify web browsing profiles\nthrough sequential classification. Sequences' clusters are\nidentified by using a model-based approach, specifically\nmixture of discrete time first-order Markov models for\ncategorical web sequences. A Bayesian approach is used to\nestimate model parameters and identify sequences classification\nas proposed by Fruehwirth-Schnatter and Pamminger (2010)\n<doi:10.1214/10-BA606>.",
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  "Author": "Furio Urso [aut, cre], Reza Mohammadi [aut], Antonino Abbruzzo\n[aut], Maria Francesca Cracolici [aut]",
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