Process Mining [recurso electrónico] : Discovery, Conformance and Enhancement of Business Processes / by Wil M. P. van der Aalst.

Por: van der Aalst, Wil M. P [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XVI, 352 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642193453Tema(s): Computer science | Software engineering | Logic design | Information storage and retrieval systems | Information systems | Management information systems | Computer Science | Information Systems Applications (incl.Internet) | Information Storage and Retrieval | Business Information Systems | Software Engineering | Logics and Meanings of Programs | Computer Appl. in Administrative Data ProcessingFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 005.7 Clasificación LoC:QA76.76.A65Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Process Modeling and Analysis -- Data Mining -- Getting the Data -- Process Discovery: An Introduction -- Advanced Process Discovery Techniques -- Conformance Checking -- Mining Additional Perspectives -- Operational Support -- Tool Support -- Analyzing “Lasagna Processes” -- Analyzing “Spaghetti Processes” -- Cartography and Navigation -- Epilogue.-.
En: Springer eBooksResumen: More and more information about business processes is recorded by information systems in the form of so-called “event logs”. Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows organizations to fully benefit from the information stored in their systems, but it can also be used to check the conformance of processes, detect bottlenecks, and predict execution problems. Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V 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.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos QA76.76 .A65 (Browse shelf(Abre debajo)) 1 No para préstamo 375820-2001

Introduction -- Process Modeling and Analysis -- Data Mining -- Getting the Data -- Process Discovery: An Introduction -- Advanced Process Discovery Techniques -- Conformance Checking -- Mining Additional Perspectives -- Operational Support -- Tool Support -- Analyzing “Lasagna Processes” -- Analyzing “Spaghetti Processes” -- Cartography and Navigation -- Epilogue.-.

More and more information about business processes is recorded by information systems in the form of so-called “event logs”. Despite the omnipresence of such data, most organizations diagnose problems based on fiction rather than facts. Process mining is an emerging discipline based on process model-driven approaches and data mining. It not only allows organizations to fully benefit from the information stored in their systems, but it can also be used to check the conformance of processes, detect bottlenecks, and predict execution problems. Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V 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.

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