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Heuristic approaches for generating Local Process Models through log projections.

, , , and . SSCI, page 1-8. IEEE, (2016)

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Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level?, , and . HEALTHINF, page 27-33. SciTePress, (2014)Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data., , , and . Intelligent Environments, page 56-63. IEEE, (2018)Layered Protocols: hands-on experience., , and . Int. J. Hum. Comput. Stud., 44 (1): 45-72 (1996)Heuristic approaches for generating Local Process Models through log projections., , , and . SSCI, page 1-8. IEEE, (2016)Actigraphy-based sleep/wake detection for insomniacs., , , and . BSN, page 1-4. IEEE, (2017)Using dynamic time warping for sleep and wake discrimination., , , , and . BHI, page 886-889. IEEE, (2012)Time-frequency analysis of heart rate variability for sleep and wake classification., , , , and . BIBE, page 85-90. IEEE Computer Society, (2012)Improved efficiency through I- and E-feedback: a trackball with contextual force feedback., , and . Int. J. Hum. Comput. Stud., 41 (6): 949-974 (1994)Log-based Evaluation of Label Splits for Process Models., , , and . KES, volume 96 of Procedia Computer Science, page 63-72. Elsevier, (2016)Event Abstraction for Process Mining Using Supervised Learning Techniques., , , and . IntelliSys (1), volume 15 of Lecture Notes in Networks and Systems, page 251-269. Springer, (2016)