| Authors: |
Daniela Grigori
and Fabio Casati
and Malu Castellanos
and Umeshwar Dayal
and Mehmet Sayal
and Ming-Chien Shan
|
| URL: |
http://dx.doi.org/10.1016/j.compind.2003.10.007 |
| Tags: |
cites.pclass
cites.procm
mrefs
research.bizInt.bpm
research.mining
|
| Abstract: |
Business Process Management Systems (BPMSs) are software platforms that support the definition, execution, and tracking of business processes. BPMSs have the ability of logging information about the business processes they support. Proper analysis of BPMS execution logs can yield important knowledge and help organizations improve the quality of their business processes and services to their business partners. This paper presents a set of integrated tools that supports business and IT users in managing process execution quality by providing several features, such as analysis, prediction, monitoring, control, and optimization. We refer to this set of tools as the Business Process Intelligence (BPI) tool suite. Experimental results presented in this paper are very encouraging. We plan to investigate further enhancements on the BPI tools suite, including automated exception prevention, and refinement of process data preparation stage, as well as integrating other data mining techniques. |
@article{grigori04bpi,
title = {Business Process Intelligence},
author = {Daniela Grigori and Fabio Casati and Malu Castellanos and Umeshwar Dayal and Mehmet Sayal and Ming-Chien Shan},
journal = {Computers in Industry},
month = {April},
number = {3},
pages = {321--343},
url = {http://dx.doi.org/10.1016/j.compind.2003.10.007},
volume = {53},
year = {2004},
abstract = { Business Process Management Systems (BPMSs) are software platforms that support the definition, execution, and tracking of business processes. BPMSs have the ability of logging information about the business processes they support. Proper analysis of BPMS execution logs can yield important knowledge and help organizations improve the quality of their business processes and services to their business partners. This paper presents a set of integrated tools that supports business and IT users in managing process execution quality by providing several features, such as analysis, prediction, monitoring, control, and optimization. We refer to this set of tools as the Business Process Intelligence (BPI) tool suite. Experimental results presented in this paper are very encouraging. We plan to investigate further enhancements on the BPI tools suite, including automated exception prevention, and refinement of process data preparation stage, as well as integrating other data mining techniques.},
doi = {10.1016/j.compind.2003.10.007},
keywords = {cites.pclass cites.procm mrefs research.bizInt.bpm research.mining }
}
::