Trends in business process analysis - from verification to process mining

نویسنده

  • Wil M. P. van der Aalst
چکیده

Business process analysis ranges from model verification at design-time to the monitoring of processes at runtime. Much progress has been achieved in process verification. Today we are able to verify the entire reference model of SAP without any problems. Moreover, more and more processes leave their “trail” in the form of event logs. This makes it interesting to apply process mining to these logs. Interestingly, practical applications of process mining reveal that reality is often quite different from the idealized models, also referred to as “PowerPoint reality”. Future process-aware information systems will need to provide full support of the entire life-cycle of business processes. Recent results in business process analysis show that this is indeed possible, e.g., the possibilities offered by process mining tools such as ProM are breathtaking both from a scientific and practical perspective.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...

متن کامل

Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)

Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

متن کامل

Challenges in Business Process Analysis

Business process analysis ranges from model verification at design-time to the monitoring of processes at run-time. Much progress has been achieved in process verification. Today we are able to verify the entire reference model of SAP without any problems. Moreover, more and more processes leave their “trail” in the form of event logs. This makes it interesting to apply process mining to these ...

متن کامل

Kashvi: Process Mining Software Repositories

Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. Process mining consists of mining event log and process trace data for the purpose of process discovery (run-time pr...

متن کامل

Kashvi: A Framework for Software Process Intelligence

Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. Process mining consists of mining event log and process trace data for the purpose of process discovery (run-time pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007