Workflow management for enterprise transformation
Information-Knowledge-Systems Management - Work, Workflow, Information Systems and Enterprise Transformation
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Web Semantics: Science, Services and Agents on the World Wide Web
Editorial: Mining business process variants: Challenges, scenarios, algorithms
Data & Knowledge Engineering
Similarity metrics for surgical process models
Artificial Intelligence in Medicine
A comparative survey of business process similarity measures
Computers in Industry
Assessing the replaceability of service protocols in mediated service interactions
Future Generation Computer Systems
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Business processes continue to play an important role in today's service-oriented enterprise computing systems. Mining, discovering, and integrating processoriented services has attracted growing attention in the recent year. In this paper we present a quantitative approach to modeling and capturing the similarity and dissimilarity between different process designs. We derive the similarity measures by analyzing the process dependency graphs of the participating workflow processes. We first convert each process dependency graph into a normalized process matrix. Then we calculate the metric space distance between the normalized matrices. This distance measure can be used as a quantitative and qualitative tool in process mining, process merging, and process clustering, and ultimately it can reduce or minimize the costs involved in design, analysis, and evolution of workflow systems.