Isbn: 9783662498507 - process mining: data science in action (26 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Condizione: good. Book has corner edge dings and or scratches.

  • Lingua: Inglese

    Editore: Springer April 2016, 2016

    3662498502 / 9783662498507

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    Da: Isle of Books, Bozeman, MT, U.S.A.Isle of Books

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    Hardcover. Condizione: Very Good. Select highlighting in first half of book otherwise nice clean condition.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: Foster Books, Board of Directors FABA, Davie, FL, U.S.A.Foster Books, Board of Directors FABA

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    Hardcover. Condizione: Very Good. Second edition, 2016. Hardback book is sturdy, clean and complete. Penciled price inside and several post-it notes to mark pages but I didn't note any highlights.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley

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    Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: medimops, Berlin, Germaniamedimops

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    Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Springer 04.2016., 2016

    3662498502 / 9783662498507

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    Da: Martin Preuß / Akademische Buchhandlung Woetzel, Kerzenheim, GermaniaMartin Preuß / Akademische Buchhandlung Woetzel

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    hardcover. Condizione: Neu. Auflage: 2nd ed. 2016. 486 Seiten Sprache: Englisch Gewicht in Gramm: 1071.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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  • Lingua: Inglese

    Editore: Springer Spektrum, 2016

    3662498502 / 9783662498507

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc, 2016

    3662498502 / 9783662498507

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    Hardcover. Condizione: Brand New. 2nd edition. 488 pages. 9.25x6.25x1.25 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2016

    3662498502 / 9783662498507

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    Hardcover. Condizione: new. Hardcover. This is the second edition of Wil van der Aalsts 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2016

    3662498502 / 9783662498507

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    Hardcover. Condizione: new. Hardcover. This is the second edition of Wil van der Aalsts 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • 3662498502 / 9783662498507

    Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer

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    Condizione: gut. Process Mining In deutscher Sprache. pages.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg Apr 2016, 2016

    3662498502 / 9783662498507

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer Berlin Heidelberg, 2016

    3662498502 / 9783662498507

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer, 2016

    3662498502 / 9783662498507

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: Springer, Springer Apr 2016, 2016

    3662498502 / 9783662498507

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.