Download Asia Pacific Business Process Management: Second Asia by Chun Ouyang, Jae-Yoon Jung PDF

By Chun Ouyang, Jae-Yoon Jung

This ebook constitutes the complaints of the second one Asia Pacific convention on enterprise approach administration held in Brisbane, QLD, Australia, in July 2014.

In all, 33 contributions from 12 international locations have been submitted. After each one submission was once reviewed by means of no less than 3 application Committee participants, 9 complete papers have been permitted for booklet during this quantity. those 9 papers conceal numerous issues that may be categorised below 4 major learn focuses in BPM: procedure mining, strategy modeling and repositories, procedure version comparability, and procedure analysis.

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Read or Download Asia Pacific Business Process Management: Second Asia Pacific Conference, AP-BPM 2014, Brisbane, QLD, Australia, July 3-4, 2014. Proceedings PDF

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Additional resources for Asia Pacific Business Process Management: Second Asia Pacific Conference, AP-BPM 2014, Brisbane, QLD, Australia, July 3-4, 2014. Proceedings

Example text

Figure 2 shows the relationship between information systems. Fig. 2. Data structures from several information systems After the data integration, the required data are extracted from the integrated database. In order to extract data, an analyst should think about what he or she wants to know or analyze. For example, this analysis is intended for outpatients’ data and needs to follow the form of event logs to apply the analysis techniques of process mining. Thus, not only key information such as patient ID, activity, resource ID, and timestamp, but also additional information such as the type of patient is extracted.

In real-life scenarios for enterprises, event logs are usually recorded by information systems, and indicate how enterprises’ processes work in practice. While process models are usually pre-designed, and shed light on how enterprises’ processes are supposed to be. Therefore, model rediscoverability expresses the degree enterprises’ processes work as expected, and this is an important concern of enterprises. g. from a large group company) can be tedious and time-consuming. g. [1], [4]) have been done to accelerate the evaluation of model rediscoverability by empirically evaluating a small set of process models (called the reference models) and recommending the others via a regression model.

40GHz CPU, 8GB RAM. 1 The Datasets Table 1. 629 2 3 6 3 4 6 4 6 12 13 12 36 14 11 32 30 24 72 To construct a comprehensive benchmark for evaluating process mining algorithms, both artificial and real-life models are included in our empirical study. The basic properties of these models are summarized in Table 1. The following paragraphs briefly introduce the sources of the datasets and summarize the benchmark results. The Artificial Dataset. Artificial process models (total 270 models) are collected from other papers, the SAP reference models, and also manually created by authors.

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