[1] van der AALST W M. Process Minging:Discovery, Conformance and Enhancement of Business Processes[M]. Berlin:Springer, 2014:5-18. [2] van der AALST W, WEIJTERS T, MARUSTER L. Workflow mining:discovering process models from event logs[J]. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(9):1128-1142. [3] WEN L, van der AALST W M, WANG J, et al. Mining process models with non-free-choice constructs[J]. Data Mining and Knowledge Discovery, 2007, 15(2):145-180. [4] de MEDEIROS A K A, van DONGEN B F, van der AALST W M. Process mining:extending the α-algorithm to mine short loops[R]. Eindhoven, Holland:Eindhoven University of Technology, 2004:151-165. [5] WEIJTERS A, van der AALST W, de MEDEIROS A A. Process mining with the heuristics miner-algorithm[R]. Eindhoven, Holland:Eindhoven University of Technology, 2006:1-34. [6] MEDEIROS A K A D, WEIJTERS A J M M, AALST W M P V D. Genetic process mining:an experimental evaluation[J]. Data Mining and Knowledge Discovery, 2007, 14(2):245-304. [7] van der WERF J M E M, van DONGEN B F, HURKENS C A J, et al. Process discovery using integer linear programming[C]//Proceedings of the 2008 International Conference on Applications and Theory of Petri Nets, LNCS 5062. Berlin:Springer, 2008:368-387. [8] van DONGE B, BUSI N, PINNA G, et al. An iterative algorithm for applying the theory of regions in process mining[R]. Eindhoven, Holland:Eindhoven University of Technology, 2007:36-55. [9] BERGENTHUM R, DESEL J, LORENZ R, et al. Process mining based on regions of languages[C]//Proceedings of the 2007 International Conference on Business Process Management, LNCS 4714. Berlin:Springer, 2007:375-383. [10] GVNTHER C W, van der AALST W M P. Fuzzy mining-adaptive process simplification based on multi-perspective metrics[EB/OL].[2018-06-16]. http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1628DBA2308A214245DDE19D04107610?doi=10.1.1.81.1207&rep=rep1&type=pdf. [11] 林雷蕾,周华,代飞,等.一种挖掘二度循环的扩展Alpha算法[J]. 计算机集成制造系统,2018,24(3):591-601. (LIN L L, ZHOU H, DAI F,et al. Extending α-algorithm to mine simplest 2-loops[J]. Computer Integrated Manufacturing Systems, 2018, 24(3):591-601.) [12] WU B, FU Y. Generating inductive invariants for Petri nets[M]//Advances in Electrical Engineering and Automation, AINSC 139. Berlin:Springer, 2012:259-266. [13] 祁宏达,杜玉越,刘伟.一种基于可达标识的过程模型修复方法[J]. 山东科技大学学报(自然科学版),2017,36(1):118-124.(QI H D, DU Y Y, LIU W. Process model repairing method based on reachable markings[J]. Journal of Shandong University of Science and Technology (Natural Science), 2017, 36(1):118-124.) [14] 明利,李彤,秦江龙,等.面向软件即服务的负载均衡策略建模与分析[J].计算机应用,2017,37(1):24-30.(MING L, LI T, QIN J L, et al. SaaS-oriented modeling and analysis of load balancing strategy[J]. Journal of Computer Applications, 2017, 37(1):24-30.) [15] HE Z, DU Y, WANG L, et al. An alpha-FL algorithm for discovering free loop structures from incomplete event logs[J]. IEEE Access, 2018,6:27885-27901. [16] YANG H, WEN L, WANG J. An approach to evaluate the local completeness of an event log[C]//Proceedings of the 2012 IEEE 12th International Conference on Data Mining. Washington, DC:IEEE Computer Society, 2012:1164-1169. [17] van DONGEN B F, de MEDEIROS A K A, VERBEEK H M W, et al. The ProM framework:a new era in process mining tool support[C]//Proceedings of the 2005 International Conference on Applications and Theory of Petri Nets, LNCS 3536. Berlin:Springer, 2005:444-454. |