Process mining techniques for pattern recognition : concepts, theory, and practice / edited by Vikash Yadav, Anil Kumar Dubey, Gaurav Dubey, Harivans Pratap Singh, and Erma Suryani.

Format:

Book

Contributor:

Yadav, Vikash, editor.

Language:

English

Subjects (All):

Systems engineering.

Pattern perception.

Data mining.

Physical Description:

1 online resource (181 pages)

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, 2022.

Summary:

"This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of 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 of process mining techniques and pattern recognition, and delivers the fundamentals of process modelling and mining. It emphasizes process discovery as an important process mining task and includes case studies as well as real-life examples to guide the reader to 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"-- Provided by publisher.

Contents:

Part I: Introduction to Process Mining Techniques. 1. Concepts of Data Mining and Process Mining. 2. Process Mining Techniques. 3. Quality Criteria. Part II: Difficulties to Apply Process Mining in Practice. 4. Applying Process Mining Techniques to Different Tasks. 5. Process Mining Techniques: Issues. Part III: Process Mining Techniques for Pattern Recognition. 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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781003169550

1003169554

9781000540574

100054057X

9781000540598

1000540596

OCLC:

1294150722