Data-Driven Process Discovery and Analysis
Paolo Ceravolo
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at 250 WPM2h 15m
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Data-Driven Process Discovery and Analysis
by Paolo Ceravolo, Stefanie Rinderle-Ma
Published
2015
Publisher
Springer
Pages
135
ISBN-13
9783662464366
Description
This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012. The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.
Subjects
Frequently Asked Questions
How many pages are in Data-Driven Process Discovery and Analysis?
This edition of Data-Driven Process Discovery and Analysis has approximately 135 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data-Driven Process Discovery and Analysis?
For most readers, Data-Driven Process Discovery and Analysis typically takes between 2h 49m and 1h 53m to complete. This is based on the book's length of approximately 33,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 2h 15m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 5 days • Estimated word count: 33,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data-Driven Process Discovery and Analysis?
The estimated word count for Data-Driven Process Discovery and Analysis is approximately 33,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data-Driven Process Discovery and Analysis?
Data-Driven Process Discovery and Analysis was written by Paolo Ceravolo, Stefanie Rinderle-Ma.
When was Data-Driven Process Discovery and Analysis published?
The publication date for this specific edition is 2015. The original work may have been published on a different date.