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Integrating complex events for collaborating and dynamically changing business processes
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von Ammon, R., Ertlmaier, T., Etzion, O., Kofman, A., Paulus, T.: Integrating Complex Events for Collaborating and Dynamically Changing Business Processes. In: ICSOC/ServiceWave 2009 Workshops. LNCS, pp. 370-384. Springer, 2010
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A genetic algorithm for discovering process trees
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IEEE
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Buijs, J., Van Dongen, B., Van Der Aalst, W.: A genetic algorithm for discovering process trees. In: Evolutionary Computation (CEC). pp. 1-8, IEEE, 2012
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Evolutionary Computation (CEC)
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Buijs, J.1
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A computer scientist's introductory guide to business process management (BPM)
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ACM
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Ko, Ryan K. L.: A computer scientist's introductory guide to business process management (BPM), In: Crossroads Journal, ACM, 2009
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Discovering block-structured process models from event logs - A constructive approach
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Springer
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Leemans, S., Fahland, D., Van Der Aalst, W.: Discovering Block-Structured Process Models from Event Logs - A Constructive Approach. In: Application and Theory of Petri Nets and Concurrency, LNCS, pp. 311-329, Springer, 2013
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Application and Theory of Petri Nets and Concurrency, LNCS
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Leemans, S.1
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Discovering block-structured process models from event logs containing infrequent behaviour
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Springer
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Leemans, S., Fahland, D., Van Der Aalst, W.: Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour, In: Business Process Management Workshops 2013, LNBIP, pp. 66-78, Springer, 2013
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Maggi, F. M., Burattin, A., Cimitile, M., Sperduti, A.: Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models, OTM 2013, LNCS, pp. 94-111, Springer, 2013
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Online Process Discovery to Detect Concept Drifts in LTL-Based Declarative Process Models, OTM 2013, LNCS
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Constructs competition miner: Process control-flow discovery of BP-domain constructs
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LNCS Springer
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Redlich, D., Molka, T., Rashid, A., Blair, G., Gilani, W.: Constructs Competition Miner: Process Control-flow Discovery of BP-domain Constructs. In: 12th Int. Conf. on Business Process Management, LNCS, pp. 134-150, Springer, 2014
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Introducing a framework for scalable dynamic process discovery
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Springer
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Redlich, D., Gilani, W., Molka, T., Drobek, M., Rashid, A., Blair, G.: Introducing a Framework for Scalable Dynamic Process Discovery. In: 4th Enterprise Engineering Working Conference (EEWC), LNBIP 174, pp. 151-166. Springer, 2014
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Research challenges for business process models at run-time
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Redlich, D., Blair, G., Rashid, A., Molka, T., Gilani, W.: Research Challenges for Business Process Models at Run-time. In: LNCS State-of-the-Art Survey Volume on Models@run.time, 2014
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Workflow mining: Discovering process models from event logs
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Van Der Aalst, W., Weijters, A., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering. 16(9): 1128-1142, 2004
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Replaying history on process models for conformance checking and performance analysis
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Van Der Aalst, W., Adriansyah, A., Van Dongen, B.: Replaying history on process models for conformance checking and performance analysis. WIREs Data Mining and Knowledge Discovery, 2(2), 182-192, 2012
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Process mining with the heuristics miner-algorithm
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Weijters, A., Van Der Aalst, W., Alves de Medeiros, A.: Process Mining with the Heuristics Miner-algorithm. BETA Working Paper Series, WP 166, Eindhoven University of Technology, 2006.
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Weijters, A.1
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