After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic "batch process mining," and second to more recent "online process mining."
The book encompasses a revised version of the author's PhD thesis, which won the "Best Process Mining Dissertation Award" in 2014, awarded by the IEEE Task Force on Process Mining.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9783319174815. N° de réf. du vendeur 9750280
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 23517323-n
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In English. N° de réf. du vendeur ria9783319174815_new
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9783319174815
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic 'batch process mining,' and second to more recent 'online process mining.'The book encompasses a revised version of the author's PhD thesis, which won the 'Best Process Mining Dissertation Award' in 2014, awarded by the IEEE Task Force on Process Mining. 232 pp. Englisch. N° de réf. du vendeur 9783319174815
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 220. N° de réf. du vendeur 26372447384
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