Titlebook: Business Process Management Workshops; BPM 2007 Internation Arthur Hofstede,Boualem Benatallah,Hye-Young Paik Conference proceedings 2008 S

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書目名稱Business Process Management Workshops讀者反饋學(xué)科排名

袋鼠

Challenges for Business Process Intelligence: Discussions at the BPI Workshop 2007 on Business Process Management (BPM 07) in Brisbane, Australia. We focus in particular on three cases that were referenced in the BPI roundtable and discuss some practical challenges. Finally, we identify future research directions for business process intelligence.

預(yù)示

The Predictive Aspect of Business Process Intelligence: Lessons Learned on Bridging IT and Businessgues that BPI holds a potential for leveraging enterprise benefits by supporting real-time processes. However, based on the experiences from past business intelligence projects the paper argues that it is necessary to establish a new methodology to mine and extract the intelligence on the business l

痛苦一生

Process Mining Based on Clustering: A Quest for Precisione many process mining techniques to automatically discover a process model based on some event log. Most of these algorithms perform well on structured processes with little disturbances. However, in reality it is difficult to determine the scope of a process and typically there are all kinds of dis

Aggressive

Preprocessing Support for Large Scale Process Mining of SAP Transactionss processes. In SAP every transaction is stored and linked to relevant documents, organizational structures and other process-relevant information. However, the complexities and size of SAP logs make it hard to analyze the business processes directly with current process mining tools. This paper des

重畫只能放棄

Process Mining as First-Order Classification Learning on Logs with Negative Eventslties related to process mining: the lack of negative information, the presence of history-dependent behavior and the presence of noise. These difficulties can elegantly dealt with when process mining is represented as first-order classification learning on event logs supplemented with negative even

尊敬

撫育

Business Process Simulation for Operational Decision Supporteployed and running processes. In particular, simulation experiments in existing process simulation environments start from an empty execution state. We investigate the requirements for a process simulation environment that allows simulation experiments to start from an intermediate execution state.

Decongestant

gout109

The Need for a Process Mining Evaluation Framework in Research and Practiceassessing the quality of the models discovered by these algorithms. In this paper, we motivate the need for such an evaluation mechanism, and outline elements of an evaluation framework that is intended to enable (a) process mining researchers to compare the performance of their algorithms, and (b)