Abstract
Process discovery is the task of generating models from event logs. Mining processes that operate in an environment of high variability is an ongoing research challenge because various algorithms tend to produce spaghetti-like models. This is particularly the case when procedural models are generated. A promising direction to tackle this challenge is the usage of declarative process modelling languages like Declare, which summarise complex behaviour in a compact set of behavioural constraints. However, Declare constraints with branching are expensive to be calculated.In addition, it is often the case that hundreds of branching Declare constraints are valid for the same log, thus making, again, the discovery results unreadable. In this paper, we address these problems from a theoretical angle. More specifically, we define the class of Target-Branched Declare constraints and investigate the formal properties it exhibits. Furthermore, we present a technique for the efficient discovery of compact Target-Branched Declare models. We discuss the merits of our work through an evaluation based on a prototypical implementation using both artificial and real-world event logs.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules in Large Databases. In: VLDB, pp. 487–499. Morgan Kaufmann (1994)
Burattin, A., Maggi, F.M., van der Aalst, W.M.P., Sperduti, A.: Techniques for a Posteriori Analysis of Declarative Processes. In: EDOC, pp. 41–50 (2012)
Chesani, F., Lamma, E., Mello, P., Montali, M., Riguzzi, F., Storari, S.: Exploiting Inductive Logic Programming Techniques for Declarative Process Mining. In: Jensen, K., van der Aalst, W.M.P. (eds.) ToPNoC II. LNCS, vol. 5460, pp. 278–295. Springer, Heidelberg (2009)
Di Ciccio, C., Marrella, A., Russo, A.: Knowledge-Intensive Processes: An Overview of Contemporary Approaches. In: KiBP, pp. 33–47 (2012)
Di Ciccio, C., Mecella, M.: Mining Constraints for Artful Processes. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds.) BIS 2012. LNBIP, vol. 117, pp. 11–23. Springer, Heidelberg (2012)
Di Ciccio, C., Mecella, M.: Mining Artful Processes from Knowledge Workers’ Emails. IEEE Internet Computing 17(5), 10–20 (2013)
Di Ciccio, C., Mecella, M.: A Two-Step Fast Algorithm for the Automated Discovery of Declarative Workflows. In: CIDM, pp. 135–142 (2013)
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer (2013)
Fahland, D., Lübke, D., Mendling, J., Reijers, H., Weber, B., Weidlich, M., Zugal, S.: Declarative versus Imperative Process Modeling Languages: The Issue of Understandability. In: Halpin, T., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P., Ukor, R. (eds.) Enterprise, Business-Process and Information Systems Modeling. LNBIP, vol. 29, pp. 353–366. Springer, Heidelberg (2009)
Lamma, E., Mello, P., Riguzzi, F., Storari, S.: Applying Inductive Logic Programming to Process Mining. In: Blockeel, H., Ramon, J., Shavlik, J., Tadepalli, P. (eds.) ILP 2007. LNCS (LNAI), vol. 4894, pp. 132–146. Springer, Heidelberg (2008)
Maggi, F.M., Westergaard, M., Montali, M., van der Aalst, W.M.P.: Runtime Verification of LTL-Based Declarative Process Models. In: Khurshid, S., Sen, K. (eds.) RV 2011. LNCS, vol. 7186, pp. 131–146. Springer, Heidelberg (2012)
Maggi, F.M.: Declarative Process Mining with the Declare Component of ProM. In: BPM (Demos). CEUR, vol. 1021 (2013)
Maggi, F.M., Bose, R.P.J.C., van der Aalst, W.M.P.: A Knowledge-Based Integrated Approach for Discovering and Repairing Declare Maps. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 433–448. Springer, Heidelberg (2013)
Maggi, F.M., Dumas, M., García-Bañuelos, L., Montali, M.: Discovering Data-Aware Declarative Process Models from Event Logs. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 81–96. Springer, Heidelberg (2013)
Maggi, F.M., Bose, R.P.J.C., van der Aalst, W.M.P.: Efficient Discovery of Understandable Declarative Process Models from Event Logs. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 270–285. Springer, Heidelberg (2012)
Maggi, F.M., Montali, M., Westergaard, M., van der Aalst, W.M.P.: Monitoring Business Constraints with Linear Temporal Logic: An Approach Based on Colored Automata. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 132–147. Springer, Heidelberg (2011)
Maggi, F.M., Mooij, A.J., van der Aalst, W.M.P.: User-Guided Discovery of Declarative Process Models. In: CIDM, pp. 192–199. IEEE (2011)
Mendling, J., Strembeck, M., Recker, J.: Factors of Process Model Comprehension - Findings from a Series of Experiments. Decision Support Systems 53(1), 195–206 (2012)
Montali, M., Chesani, F., Maggi, F.M., Mello, P.: Towards Data-Aware Constraints in Declare. In: SAC, pp. 1391–1396 (2013)
Montali, M., Maggi, F.M., Chesani, F., Mello, P., van der Aalst, W.M.P.: Monitoring Business Constraints with the Event Calculus. ACM TIST 5(1), 17 (2013)
Montali, M., Pesic, M., van der Aalst, W.M.P.: Federico Chesani, Paola Mello, and Sergio Storari. Declarative Specification and Verification of Service Choreographies. ACM Transactions on the Web 4(1) (2010)
Reijers, H.A., Slaats, T., Stahl, C.: Declarative Modeling–An Academic Dream or the Future for BPM? In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 307–322. Springer, Heidelberg (2013)
Schunselaar, D.M.M., Maggi, F.M., Sidorova, N.: Patterns for a Log-Based Strengthening of Declarative Compliance Models. In: Derrick, J., Gnesi, S., Latella, D., Treharne, H. (eds.) IFM 2012. LNCS, vol. 7321, pp. 327–342. Springer, Heidelberg (2012)
Smirnov, S., Weidlich, M., Mendling, J.: Business Process Model Abstraction Based on Synthesis from Well-Structured Behavioral Profiles. Int. J. Cooperative Inf. Syst. 21(1), 55–83 (2012)
van der Aalst, W.M.P., Weijters, T., Maruster, L.: Workflow Mining: Discovering Process Models from Event Logs. IEEE TKDE 16(9), 1128–1142 (2004)
van der Aalst, W.M.P., Pesic, M., Schonenberg, H.: Declarative Workflows: Balancing between Flexibility and Support. CSRD 23(2), 99–113 (2009)
van Dongen, B.F.: BPI Challenge 2012 (2012)
Weidlich, M., Polyvyanyy, A., Desai, N., Mendling, J., Weske, M.: Process Compliance Analysis Based on Behavioural Profiles. Inf. Syst. 36(7), 1009–1025 (2011)
Westergaard, M., Maggi, F.M.: Looking into the Future: Using Timed Automata to Provide A Priori Advice about Timed Declarative Process Models. In: Meersman, R., et al. (eds.) OTM 2012, Part I. LNCS, vol. 7565, pp. 250–267. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Di Ciccio, C., Maggi, F.M., Mendling, J. (2014). Discovering Target-Branched Declare Constraints. In: Sadiq, S., Soffer, P., Völzer, H. (eds) Business Process Management. BPM 2014. Lecture Notes in Computer Science, vol 8659. Springer, Cham. https://doi.org/10.1007/978-3-319-10172-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-10172-9_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10171-2
Online ISBN: 978-3-319-10172-9
eBook Packages: Computer ScienceComputer Science (R0)