Author(s) Name:  Vikash Yadav, Anil Kumar Dubey, Harivans Pratap Singh, Gaurav Dubey, Erma Suryani
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.
Table of Contents
1. Concepts of Data Mining and Process Mining
2. Process Mining Techniques
3. Quality Criteria
4. Applying Process Mining Techniques to Different Tasks
5. Process Mining Techniques: Issues
6. Pattern Recognition
7. Role of Process Mining Techniques for Pattern Recognition
8. Emerging Application and Research Trends
9. Future Challenge in Pattern Recognition
10. Case Study
Publisher:  CRC Press
Year of Publication:  2022
Book Link:  Home Page Url