Process Mining Techniques in Business Environments: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
Andrea Burattin
€ 73.85
FREE Delivery in Ireland
Description for Process Mining Techniques in Business Environments: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining
Paperback. .
After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic batch process mining, and second to more recent online process mining. The book encompasses a revised version of the author's PhD thesis, which won the Best Process Mining Dissertation Award in 2014, awarded by the IEEE Task Force on ... Read more
After a brief presentation of the state of the art of process-mining techniques, Andrea Burratin proposes different scenarios for the deployment of process-mining projects, and in particular a characterization of companies in terms of their process awareness. The approaches proposed in this book belong to two different computational paradigms: first to classic batch process mining, and second to more recent online process mining. The book encompasses a revised version of the author's PhD thesis, which won the Best Process Mining Dissertation Award in 2014, awarded by the IEEE Task Force on ... Read more
Product Details
Publisher
Springer International Publishing AG Switzerland
Number of pages
220
Format
Paperback
Publication date
2015
Series
Lecture Notes in Business Information Processing
Condition
New
Weight
377g
Number of Pages
220
Place of Publication
Cham, Switzerland
ISBN
9783319174815
SKU
V9783319174815
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Process Mining Techniques in Business Environments: Theoretical Aspects, Algorithms, Techniques and Open Challenges in Process Mining