Process Mining A Complete Guide - 2020 Edition PDF Download

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655978992
Category : Electronic books
Languages : en
Pages : 0

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Book Description
Process Mining A Complete Guide - 2020 Edition.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655928997
Category :
Languages : en
Pages : 302

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Book Description
Process discovery; What is the process? Does process mining add to internal auditing? Why is process mining important? Where is process mining applied in shared services functions? What is the functionality in existing tools that is most useful? This easy Process Mining self-assessment will make you the established Process Mining domain assessor by revealing just what you need to know to be fluent and ready for any Process Mining challenge. How do I reduce the effort in the Process Mining work to be done to get problems solved? How can I ensure that plans of action include every Process Mining task and that every Process Mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Process Mining costs are low? How can I deliver tailored Process Mining advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Process Mining essentials are covered, from every angle: the Process Mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Process Mining outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Process Mining practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Process Mining are maximized with professional results. Your purchase includes access details to the Process Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Process Mining Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: Lars Reinkemeyer
Publisher: Springer Nature
ISBN: 3030401723
Category : Computers
Languages : en
Pages : 207

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Book Description
This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it complements academic publications on the topic. Further the book reveals the challenges and failures in order to offer readers practical insights and guidance on how to avoid the pitfalls and ensure successful operational deployment. The book is divided into three parts: Part I provides an introduction to the topic from fundamental principles to key success factors, and an overview of operational use cases. As a holistic description of process mining in a business environment, this part is particularly useful for readers not yet familiar with the topic. Part II presents detailed use cases written by contributors from a variety of functions and industries. Lastly, Part III provides a brief overview of the future of process mining, both from academic and operational perspectives. Based on a solid academic foundation, process mining has received increasing interest from operational businesses, with many companies already reaping the benefits. As the first book to present an overview of successful industrial applications, it is of particular interest to professionals who want to learn more about the possibilities and opportunities this new technology offers. It is also a valuable resource for researchers looking for empirical results when considering requirements for enhancements and further developments.

Author: Diogo R. Ferreira
Publisher: Springer
ISBN: 3319564277
Category : Business & Economics
Languages : en
Pages : 101

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Book Description
The main goal of this book is to explain the core ideas of process mining, and to demonstrate how they can be implemented using just some basic tools that are available to any computer scientist or data scientist. It describes how to analyze event logs in order to discover the behavior of real-world business processes. The end result can often be visualized as a graph, and the book explains how to use Python and Graphviz to render these graphs intuitively. Overall, it enables the reader to implement process mining techniques on his or her own, independently of any specific process mining tool. An introduction to two popular process mining tools, namely Disco and ProM, is also provided. The book will be especially valuable for self-study or as a precursor to a more advanced text. Practitioners and students will be able to follow along on their own, even if they have no prior knowledge of the topic. After reading this book, they will be able to more confidently proceed to the research literature if needed.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655165941
Category :
Languages : en
Pages : 116

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Book Description
What vendors make products that address the Process mining needs? Does Process mining analysis show the relationships among important Process mining factors? Who is the main stakeholder, with ultimate responsibility for driving Process mining forward? Why is it important to have senior management support for a Process mining project? How do we go about Comparing Process mining approaches/solutions? This astounding Process mining self-assessment will make you the entrusted Process mining domain assessor by revealing just what you need to know to be fluent and ready for any Process mining challenge. How do I reduce the effort in the Process mining work to be done to get problems solved? How can I ensure that plans of action include every Process mining task and that every Process mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Process mining costs are low? How can I deliver tailored Process mining advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Process mining essentials are covered, from every angle: the Process mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Process mining outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Process mining practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Process mining are maximized with professional results. Your purchase includes access details to the Process mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.

Author: Wil M. P. van der Aalst
Publisher: Springer
ISBN: 3662498510
Category : Computers
Languages : en
Pages : 477

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Book Description
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.

Author: Gerard Blokdyk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781977718242
Category :
Languages : en
Pages : 122

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Book Description
This astounding Process mining self-assessment will make you the accepted Process mining domain assessor by revealing just what you need to know to be fluent and ready for any Process mining challenge. How do I reduce the effort in the Process mining work to be done to get problems solved? How can I ensure that plans of action include every Process mining task and that every Process mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Process mining opportunity costs are low? How can I deliver tailored Process mining advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Process mining essentials are covered, from every angle: the Process mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Process mining outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Process mining practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Process mining are maximized with professional results. Your purchase includes access to the $249 value Process mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655925231
Category :
Languages : en
Pages : 304

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Book Description
What are the leading papers around models for quantifying the quality of judges in crowdsourcing? What error rate, on future unseen data, would you expect from a predictive classification model you have built using a given training set? How do you cover the basic algorithms regarding semantics grammar sentence splitting etc? What are the pros and cons of outsourcing business intelligence? What are the differences between visual data mining and data visualization? This breakthrough Data Mining self-assessment will make you the assured Data Mining domain adviser by revealing just what you need to know to be fluent and ready for any Data Mining challenge. How do I reduce the effort in the Data Mining work to be done to get problems solved? How can I ensure that plans of action include every Data Mining task and that every Data Mining outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Mining costs are low? How can I deliver tailored Data Mining advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Mining essentials are covered, from every angle: the Data Mining self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Mining outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Mining practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Mining are maximized with professional results. Your purchase includes access details to the Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Mining Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: Jiawei Han
Publisher: Elsevier
ISBN: 0123814804
Category : Computers
Languages : en
Pages : 740

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Book Description
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Author: Ronny S. Mans
Publisher: Springer
ISBN: 3319160710
Category : Computers
Languages : en
Pages : 99

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Book Description
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.