Abstract
This article presents an approach for automating business process consolidation by applying process topic clustering based on business process libraries, using graph mining algorithm to extract process patterns, find out frequent sub-graphs under the same process topic, then filling sub-graph information into the table of process frequent sub-graph, finally merging these frequent sub-graphs to get merged business processes on the basis of process merge algorithm. We use compression ratio to judging the capability of our merge methods, the compression ratios of integrated processes in same topic cluster are much lower than the different topic processes, and our method achieves similar compression ratio compare with previous work.
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