Process Mining Data Science in Action MINAUTICS
About this course: Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
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Description Creators/Contributors Author/Creator Aalst, Wil van der, author. Contents/Summary Bibliography Includes bibliographical references and index. Contents Introduction Preliminaries From Event Logs to Process Models Beyond Process Discovery Putting Process Mining to Work Reflection Epilogue.
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Wil M. P. van der Aalst Springer Berlin Heidelberg, Apr 26, 2016 - Computers - 467 pages This is the second edition of Wil van der Aalst's seminal book on process mining, which now discusses.
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Process Mining: Data Science in Action 2nd Edition, Kindle Edition by Wil M. P. van der Aalst (Author) Format: Kindle Edition 4.6 49 ratings
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Process Mining Data Science in Action Home Book Authors: Wil van der Aalst 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 discipline
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Process Mining: Data Science in ActionMay 2018 Author: Wil M. P. Van Der Aalst Publisher: Springer Publishing Company, Incorporated ISBN: 978-3-662-57041-8 Published: 10 May 2018 Pages: 488 Available at Amazon Save to Binder Export Citation Bibliometrics Downloads (cumulative) 0 Citation count 0 Downloads (6 weeks) 0 Downloads (12 months) 0
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Data Science in Action Chapter Apr 2016 Process Mining pp.3-23 In recent years, data science emerged as a new and important discipline. It can be viewed as an amalgamation of.
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Process Mining: Data Science in Action Wil M.P. van der Aalst Published 15 April 2016 Computer Science 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… Expand No Paper Link Available Save to Library
Process mining data science in action
Data product is merely a data application that acquires its value from the data itself, and creates more data as a result; it's not just an application with data. Data science involves the methodical study of digital data employing techniques of observation, development, analysis, testing and validation.
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Fingerprint Abstract 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.
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Process Mining in Action describes principles, challenges and learnings from years of practice." (Seungjin Whang, Professor of Operations, Information & Technology at Stanford Graduate School of Business) "This is a timely book that presents operational experiences and brings Process Mining application problems to academic research communities.
Process Mining Data Science in Action by Wil van der Aalst
Process Mining: Data Science in ActionApril 2016 Author: Wil van der Aalst Publisher: Springer Publishing Company, Incorporated ISBN: 978-3-662-49850-7 Published: 16 April 2016 Pages: 467 Available at Amazon Save to Binder Export Citation Bibliometrics Downloads (cumulative) 0 Citation count 81 Downloads (6 weeks) 0 Downloads (12 months) 0
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Process Mining: Data science in Action Created by: Wil. van der Aalst The course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data.
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Paperback. $39.39 5 Used from $49.70 16 New from $39.39. 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.
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Process Mining: Data Science in Action. Hardcover - 26 April 2016. 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.
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Process Mining is a new kind of Business Analytics and has emerged as a powerful family of Process Science techniques for analysing and improving business processes.
