A comprehensive and automated approach to intelligent business processes execution analysis

Malu Castellanos, Fabio Casati, Umeshwar Dayal, Ming Chien Shan

Research output: Contribution to journal › Article

Abstract

A set of concepts and architectures that lay the foundation for providing users with intelligent analysis and predictions about business process executions is presented. The tools are able to provide users with information about why the quality of a process execution is low, what will be the outcome of a certain process, or how many processes will be started in future. The information is crucial to gain visibility into the process, understand or foresee problems and areas of optimization, and quickly identify solutions. Intelligent analysis and predictions are achieved by applying data mining techniques to process execution data.

Original language	English
Pages (from-to)	239-273
Number of pages	35
Journal	Distributed and Parallel Databases
Volume	16
Issue number	3
DOIs	https://doi.org/10.1023/B:DAPD.0000031635.88567.65
Publication status	Published - Nov 2004
Externally published	Yes

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Keywords

Business process
Business process intelligence
Metrics
Prediction
Process analysis
Star schema

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Information Systems and Management

Cite this

Castellanos, M., Casati, F., Dayal, U., & Shan, M. C. (2004). A comprehensive and automated approach to intelligent business processes execution analysis. Distributed and Parallel Databases, 16(3), 239-273. https://doi.org/10.1023/B:DAPD.0000031635.88567.65

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Access to Document

10.1023/B:DAPD.0000031635.88567.65