Process Mining Techniques for Pattern Recognition

Table of contents

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