Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice
- Length: 168 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2022-02-22
- ISBN-10: 0367770490
- ISBN-13: 9780367770495
- Sales Rank: #0 (See Top 100 Books)
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.
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
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