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Process Abstraction and Aggregation – CR000377

₹800.00



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Subject – Process Model Enhancement and Extension

Industry – Process Mining

Introduction:

Welcome to the eLearning course on Process Abstraction and Aggregation, offered by T24Global Company. This course is specifically designed for students pursuing their M.Tech in Process Mining. In this course, we will explore the concepts of process abstraction and aggregation, which are essential for understanding and analyzing complex business processes.

Process mining is a field that focuses on extracting knowledge from event logs generated by information systems. It aims to discover, monitor, and improve real processes by extracting knowledge from event logs. As a student pursuing an M.Tech in Process Mining, it is crucial to have a solid understanding of the fundamental concepts and techniques used in this field.

Process abstraction refers to the process of simplifying complex business processes by focusing on the essential aspects and ignoring unnecessary details. It helps in gaining a high-level view of the process, which is crucial for process analysis and improvement. Through this course, you will learn various techniques for process abstraction, such as process decomposition, process modeling, and process simplification.

Aggregation, on the other hand, involves combining multiple instances of a process into a single representation. It allows us to analyze and understand the overall behavior of a process by considering the common patterns and characteristics shared by multiple instances. In this course, we will explore different methods of process aggregation, including clustering, grouping, and pattern mining.

The course will cover a wide range of topics related to process abstraction and aggregation. You will learn about different process modeling techniques, such as Petri nets, BPMN, and EPCs, and how they can be used to abstract and represent complex processes. We will also delve into advanced topics, such as process discovery, conformance checking, and process enhancement, using various process mining algorithms and tools.

Throughout the course, you will have access to interactive learning materials, including video lectures, quizzes, and hands-on exercises. These resources will help you grasp the concepts effectively and apply them in practical scenarios. Additionally, you will have the opportunity to engage in discussions with fellow students and instructors through our online learning platform.

By the end of this course, you will have a solid understanding of process abstraction and aggregation techniques, and their significance in the field of process mining. You will be equipped with the necessary knowledge and skills to analyze and improve complex business processes using various process mining tools and algorithms.

We hope that this eLearning course will be a valuable resource in your journey towards becoming a proficient process mining professional. Get ready to explore the fascinating world of process abstraction and aggregation!

NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/process-abstraction-and-aggregation/ (copy URL)

 

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Lessons Included

 

LS004561 – Process Abstraction and Aggregation – Challenges & Learnings

LS003515 – Multi-Level Process Models

LS002469 – Time and Resource Dimension Analysis

LS001423 – Multi-Perspective Process Mining

LS000377 – Enhancing Process Models with Data Attributes

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