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2018年第八届中国业务过程管理大会(CBPM2018)暑期学校

澳门新葡新京-澳门新葡新京官网『首页』 :2018-08-22    作者:     来源:     点击:

授课时间:2018年8月23日-2018年8月24日

授课地点:,澳门新葡新京官网千佛山校区南校园9号楼109

课程题目:Introduction to Business Process Analytics

课程摘要

Business process analytics is a body of methods for analyzing data generated by the execution of business processes in order to extract insights about weaknesses and improvement opportunities, both at the tactical and operational levels. Tactical process analytics methods (also known as process mining) allow us to understand how a given business process is actually executed, if and how its execution deviates with respect to expected or normative pathways, and what factors contribute to poor process performance or undesirable outcomes. Meantime, operational process analytics methods allow us to monitor ongoing executions of a business process in order to predict future states and undesirable outcomes at runtime (predictive process monitoring).

This course will provide a 360-degrees overview of process analytics methods and their applications. We will first learn about basic techniques for event log visualization and filtering. We will see how these techniques are implemented in commercial tools such as Disco and Celonis. Next, we will learn about four fundamental process mining operators: automated process discovery, conformance checking, performance mining, and variants analysis. After a theoretical introduction to these four process mining operators, we will see how they are implemented in the Apromore process analytics platform. Next, we will learn about methods for runtime process analytics, with an emphasis on predictive process monitoring. The course will also provide an overview of current research questions in the field of business process analytics.

主讲人简介:

Marlon Dumas is Professor of Information Systems at University of Tartu, Estonia. His research interests span across the fields of software engineering, information systems and Business Process Management (BPM). His ongoing research focuses on combining data mining techniques and formal verification methods to analyze and monitor business processes. He has published over 200 papers in conferences and journals and he is one of the top-5 most cited researchers in the field of BPM. His research has received 10 best paper awards at international conferences and two test-of-time awards. He is co-inventor of seven granted patents and co-author of the textbook "Fundamentals of Business Process Management", which is used in more than 200 universities worldwide.

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