Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
A hierarchical approach to wrapper induction
Proceedings of the third annual conference on Autonomous Agents
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 27th International Conference on Very Large Data Bases
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Fully automatic wrapper generation for search engines
WWW '05 Proceedings of the 14th international conference on World Wide Web
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Proceedings of the 44th annual Southeast regional conference
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
A genetic programming approach to business process mining
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Experiences in crawling deep web in the context of local search
Proceedings of the 2nd international workshop on Geographic information retrieval
Topical crawling on the web through local site-searches
Journal of Web Engineering
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In this paper, we address the design and implementation of a supporting system for process-based searches. This supporting system can efficiently crawl the Web and extract processes from obtained data. The retrieved processes can then be used in a Process-Based Search Engine (PBSE). In this work, a process is defined as a sequence of activities for achieving a goal. A PBSE uses the extracted processes to transform an original query into multiple sub-queries, and then performs keyword search for each transformed sub-query. To facilitate effective process-based searches, a large number of high quality processes are required. This paper focuses on how to efficiently and effectively build a database of processes by exploring the Web.