Subject – Advanced Process Discovery
Industry – Process Mining
Introduction:
Welcome to the eLearning course on Heuristic and Algorithmic Discovery Methods, brought to you by T24Global Company. This course is specifically designed for students pursuing their M.Tech in Process Mining, providing them with a comprehensive understanding of heuristic and algorithmic discovery methods in the context of process mining.
Process mining is a rapidly growing field that aims to extract knowledge from event logs recorded by information systems during the execution of business processes. It enables organizations to gain insights into their processes, identify bottlenecks, and improve overall efficiency. To achieve these objectives, process mining heavily relies on the discovery of process models from event data.
Heuristic and algorithmic discovery methods play a crucial role in process mining by automatically constructing process models from event logs. These methods employ different techniques and algorithms to discover the underlying process structure, activities, and dependencies. By understanding these methods, students will be equipped with the necessary knowledge and skills to effectively analyze and improve processes in real-world scenarios.
In this course, we will start by introducing the fundamental concepts and principles of process mining. You will learn about the different types of process models, such as Petri nets and BPMN, and their applications in process mining. We will also discuss the importance of event logs and how to preprocess them for analysis.
Next, we will delve into the world of heuristic discovery methods. These methods use heuristics, or rules of thumb, to construct process models. We will explore popular heuristic algorithms, such as the alpha algorithm and the fuzzy miner, and understand their strengths and limitations. You will also gain hands-on experience by applying these algorithms to real-world event logs using process mining tools.
Following the heuristic methods, we will dive into the realm of algorithmic discovery methods. These methods employ mathematical and computational techniques to discover process models. We will explore algorithms like the α-algorithm and the genetic algorithm, and understand how they work under the hood. You will have the opportunity to implement these algorithms and evaluate their performance using various metrics.
Throughout the course, we will emphasize the practical aspects of process mining by providing real-world case studies and examples. You will learn how to interpret and analyze process models, identify performance issues, and propose improvements. By the end of the course, you will have a solid foundation in heuristic and algorithmic discovery methods, enabling you to apply process mining techniques effectively in your M.Tech in Process Mining program and beyond.
We are excited to have you on this journey of exploring heuristic and algorithmic discovery methods in the context of process mining. Let’s get started and unlock the hidden insights within your organization’s processes!
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/heuristic-and-algorithmic-discovery-methods/ (copy URL)
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Lessons Included