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.

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Yes, you can access Process Mining Techniques for Pattern Recognition by Vikash Yadav, Anil Kumar Dubey, Harivans Pratap Singh, Gaurav Dubey, Erma Suryani, Vikash Yadav,Anil Kumar Dubey,Harivans Pratap Singh,Gaurav Dubey,Erma Suryani in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Data Mining

Index

Computer Science

Cover
Half Title
Title
Copyright
Contents
Preface
Editors
Contributors
Chapter 1 Concepts of Data Mining and Process Mining
Chapter 2 Optimizing Web Page Ranks Using Query Independent Indexing Algorithm
Chapter 3 Design and Implementation of Novel Techniques for Content-Based Ranking of Web Documents
Chapter 4 Web-Based Credit Card Allocation System Using Machine Learning
Chapter 5 Pattern Recognition
Chapter 6 Automated Pattern Analysis and Curated Sack Count Leveraging Video Analysis on Moving Objects
Chapter 7 DBSU: A New Fusion Algorithm for Clustering of Diabetic Retinopathy Disease
Chapter 8 Dynamic Simulation Model to Increase the Use of Public Transportation Using Transit-Oriented Development
Chapter 9 Text Summarization Using Extractive Techniques
Chapter 10 An Efficient Deep Neural Network with Adaptive Galactic Swarm Optimization for Complex Image Text Extraction
Chapter 11 Diet Recommendation Model of Quality Nutrition for Cardiovascular Patients
Chapter 12 Dynamic Simulation Model to Improve Travel Time Efficiency (Case Study: Surabaya City)
Index

About this book

Frequently asked questions

Information

Table of contents