时间：12月24日（星期三）上午10：00开始

地点：舜德楼北510会议室

报告人：Dr. Dennis K.J.Lin, University Distinguished Professor, Penn State University

报告题目：Process Mining and RFID

报告摘要：

A well-defined business process which reflects the dependencies among tasks is desirable for modern business intelligent.  Processes are typically modeled as annotated activity graphs. The traditional method is using the workflow paradigm to prescribe how business processes should be performed. Process mining (or Workflows mining), on the other hand, is to construct process models from event logs of past (the data).  This technique aims at improving the underlying processes by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. The discovered information can be used to develop new systems that support the execution of business processes or as a feedback tool that helps in analyzing and improving the performed business processes. Process mining raises a number of interesting scientific questions coming to several kinds of the challenges of process mining.

This talk will first introduce the general idea and the objectives of our study.  The existing algorithms for process mining will be discussed and compared. A new algorithm which is especially good for the case when the event logs (data) contain errors is proposed. Followed an overview of recent development on RFID (Radio Frequency Identification), a process mining application on RFID will be discussed.

报告人简介：

Dr. Dennis Lin is a University Distinguished Professor of Supply Chain Management and Statistics at the Penn State University. His research interests are quality assurance, industrial statistics, data mining and response surface. He has published near 150 papers in a wide variety of journals and is editor of Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of the American Statistical Association (ASA), an elected member of International Statistical Institute (ISI), an elected fellow of American Society of Quality (ASQ), a lifetime member of International Chinese Statistical Association (ICSA), a fellow of the Royal Statistical Society (RSS), and has received the Most Outstanding Presentation Award from SPES, ASA. He is also the recipient of the 2004 Faculty Scholar Medal Award at Penn State University.

欢迎感兴趣的师生准时参加。