Articles liés à Process Mining: Data Science in Action
Synopsis
This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics.
After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges.
Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Wil van der Aalst is a full professor at the Department of Mathematics & Computer Science of the Technische Universiteit Eindhoven (TU/e), The Netherlands, where he chairs the Architecture of Information Systems (AIS) group and serves as the scientific director of the Data Science Center Eindhoven. He also has a part-time appointment in the BPM group of Queensland University of Technology (QUT), Australia. His research and teaching interests include information systems, business process management, process modeling, Petri nets, process mining, and simulation.
Wil has published more than 180 journal papers, 19 books, 425 refereed conference or workshop publications, and 60 book chapters. Many of his papers are highly cited (he has a H-index of more than 123 according to Google Scholar, the highest among all European computer scientists) and his ideas on process support have influenced researchers, software developers, and standardization committees worldwide.
À propos de la quatrième de couverture
Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 48,79
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délais
Résultats de recherche pour Process Mining: Data Science in Action
Image d'archives
Process Mining: Data Science in Action
Edité par
Springer, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Ancien ou d'occasion
Couverture souple
Vendeur : medimops, Berlin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. N° de réf. du vendeur M03662570416-G
Quantité disponible : 1 disponible(s)
Image d'archives
Process Mining: Data Science in Action
Edité par
Springer, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Ancien ou d'occasion
Couverture souple
Vendeur : medimops, Berlin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M03662570416-V
Quantité disponible : 1 disponible(s)
Image d'archives
Process Mining
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur P1-9783662570418
Quantité disponible : 1 disponible(s)
Image d'archives
Process Mining: Data Science in Action
Edité par
Springer, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Ancien ou d'occasion
Couverture souple
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00091359811
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Process Mining
Edité par
Springer Berlin Heidelberg, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science disciplineThis second edition includes over 150 pag. N° de réf. du vendeur 400286663
Quantité disponible : 1 disponible(s)
Image d'archives
Process Mining: Data Science in Action
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783662570418_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Process Mining : Data Science in Action
Edité par
Springer Berlin Heidelberg Apr 2018, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges.Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers. N° de réf. du vendeur 9783662570418
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Process Mining
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2018, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Neuf
Taschenbuch
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -This is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges.Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers. 488 pp. Englisch. N° de réf. du vendeur 9783662570418
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Process Mining
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2018, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges.Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers. 488 pp. Englisch. N° de réf. du vendeur 9783662570418
Quantité disponible : 1 disponible(s)
Image d'archives
Process Mining: Data Science in Action
Edité par
Springer-Verlag New York Inc, 2018
ISBN 10 : 3662570416
ISBN 13 : 9783662570418
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 2nd reprint edition. 486 pages. 9.25x6.10x1.18 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3662570416
Quantité disponible : 1 disponible(s)