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PAIS Lab seminar: Mediating Between Modeled and Observed Behavior: The Quest for the "Right" Process // prof. Wil van der Aalst


15 апреля состоялось очередное заседание научного семинара Лаборатории процессно-ориентированных информационных систем.
С докладом  по теме Mediating Between Modeled and Observed Behavior: The Quest for the "Right" Process выступил научный руководитель лаборатории, профессор Технического университета Эйндховена (Нидерланды) Вил ван дер Аалст (Wil van der Aalst).

В своем докладе профессор ван дер Аалст осветил различные вопросы построения, извлечения и анализа моделей процессов для современных процессно-ориентированных информационных систем. Были рассмотрены основные проблемы и задачи, возникающие при исследовании ПОИС. Особое внимание докладчик уделил возможным направлениям усовершенствования и развития техник Process mining. 

Авторская аннотация:
Operational processes leave trails in the information systems supporting them. Such event data are the starting point for process mining - an emerging scientific discipline relating modeled and observed behavior. Whereas an event log describes example behavior of the underlying process, a process model aims to describe an abstraction of the same process. Models may be descriptive or normative. Descriptive models aim to describe the underlying process and are used for discussion, performance analysis, obtaining insights, and prediction. Normative models describe the desired behavior and are used for workflow management, system configuration, auditing, compliance management, and conformance checking. Differences between modeled and observed behavior may point to undesirable deviations or inadequate models. In his talk prof. Van der Aalst discusses challenges related to finding the "right" process, i.e., the process model that describes the real underlying process or a process that behaves as desired. Concrete topics that will be addressed are: the representational bias in process mining (covering different process representations ranging from C-nets to process trees), divide-and-conquer approaches (splitting logs and models), the importance of alignments, and advanced forms of process discovery (e.g., finding compromises between a reference model and observed behavior and mining configurable process models).

Слайды: PAIS-lab-WvdA-April-2013.pdf




 

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