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Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice

Edited by Vikash Yadav, Edited by Anil Kumar Dubey, Edited by Harivans Pratap Singh, Edited by Gaurav Dubey, Edited by Erma Suryani





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| book description |

This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches. Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice. Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level.

| product details |



Normally shipped | Enquiries only
Publisher | Taylor & Francis Ltd
Published date | 27 Feb 2022
Language |
Format | Digital (delivered electronically)
Pages | 180
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0005-4057-4
Readership Age |
BISAC | computers / database management / data mining


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