{"id":876,"date":"2021-07-13T18:52:47","date_gmt":"2021-07-13T18:52:47","guid":{"rendered":"http:\/\/library.gito.de\/?p=876"},"modified":"2023-08-02T00:59:05","modified_gmt":"2023-08-01T22:59:05","slug":"wi2020-zentrale-tracks-63","status":"publish","type":"post","link":"https:\/\/library.gito.de\/en\/2021\/07\/wi2020-zentrale-tracks-63\/","title":{"rendered":"WI2020 Zentrale Tracks"},"content":{"rendered":"<p><\/p>\n<div id=\"block-library-content\">\n<div class=\"grid-container full\">\n<div class=\"grid-x grid-padding-x\">\n<div class=\"cell content-sep-index-y large-20 medium-20 small-24 columne-3\">\n<div>\n<div class=\"literatur\">\n<p>1. Hilbert, A., Zschech, P.: Process Analytics. WISU. 942\u2013948 (2016).<br \/>\n2. van der Aalst, W.M.P., Zhao, J.L., Wang, H.J.: Business Process Intelligence: Connecting Data and Processes. ACM Transactions on Management Information Systems. 5,1-7 (2015).<br \/>\n3. zur Muehlen, M., Shapiro, R.: Business process analytics. In: Handbook on Business Process Management 2. pp. 137\u2013157. Springer (2010).<br \/>\n4. Beheshti, S.M.R., Benatallah, B., Sakr, S., Grigori, D., Motahari-Nezhad, H.R., Barukh, M.C., Gater, A., Ryu, S.H.: Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer International Publishing (2016).<br \/>\n5. Di Francescomarino, C., Ghidini, C., Maggi, F.M., Petrucci, G., Yeshchenko, A.: An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring. In: International Conference on Business Process Management. pp. 252\u2013268 (2017).<br \/>\n6. Di Francescomarino, C., Dumas, M., Federici, M., Ghidini, C., Maggi, F.M., Williams, R., Simonetto, L.: Genetic algorithms for hyperparameter optimization in predictive business process monitoring. Information Systems. 74, 67\u201383 (2018).<br \/>\n7. Evermann, J., Rehse, J.-R., Fettke, P.: XES Tensorflow &#8211; Process Prediction using the Tensorflow Deep-Learning Framework. CoRR. abs\/1705.01507, (2017).<br \/>\n8. Mehdiyev, N., Lahann, J., Emrich, A., Enke, D., Fettke, P., Loos, P.: Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry. Procedia Computer Science. 114, 242\u2013249 (2017).<br \/>\n9. LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature. 521, 436\u2013444 (2015).<br \/>\n10. Heinrich, K., Zschech, P., Skouti, T., Griebenow, J., Riechert, S.: Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems. Americas Conference on Information Systems, Canc\u00fan, Mexico (2019).<br \/>\n11. Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., Bengio, Y.: Learning Phrase Representations using RNN Encoder\u2013Decoder for Statistical Machine Translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 1724\u20131734 (2014).<br \/>\n12. Heinrich, K., Zschech, P., M\u00f6ller, B., Breithaupt, L., Maresch, J.: Objekterkennung im Weinanbau \u2013 Eine Fallstudie zur Unterst\u00fctzung von Winzert\u00e4tigkeiten mithilfe von Deep Learning. HMD Praxis der Wirtschaftsinformatik. (2019).<br \/>\n13. Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., Chen, T.: Recent advances in convolutional neural networks. Pattern Recognition. 77, 354\u2013377 (2018).<br \/>\n14. Conforti, R., De Leoni, M., La Rosa, M., Van Der Aalst, W.M.: Supporting risk-informed decisions during business process execution. In: International Conference on Advanced Information Systems Engineering. pp. 116\u2013132. Springer (2013).<br \/>\n15. Del-RiO-Ortega, A., Resinas, M., Cabanillas, C., Ruiz-Cortes, A.: On the definition and design-time analysis of process performance indicators. Information Systems. 38, 470\u2013 490 (2013).<br \/>\n16. Evermann, J., Rehse, J.-R., Fettke, P.: A Deep Learning Approach for Predicting Process Behaviour at Runtime. In: Business Process Management Workshops, LNBIP (2016).<br \/>\n17. Mehdiyev, N., Evermann, J., Fettke, P.: A Multi-stage Deep Learning Approach for Business Process Event Prediction. In: IEEE 19th Conference on Business Informatics (CBI). pp. 119\u2013128 (2017).<br \/>\n18. da Silva, I.N., Hernane Spatti, D., Andrade Flauzino, R., Liboni, L.H.B., dos Reis Alves, S.F.: Artificial Neural Network Architectures and Training Processes. In: Artificial Neural Networks : A Practical Course. pp. 21\u201328. Springer International Publishing, Cham (2017).<br \/>\n19. Hochreiter, S., Schmidhuber, J.: Long Short-Term Memory. Neural Computation. 9, 1735\u20131780 (1997).<br \/>\n20. Evermann, J., Rehse, J.-R., Fettke, P.: Predicting process behaviour using deep learning. Decision Support Systems. 100, 129\u2013140 (2017).<br \/>\n21. Mehdiyev, N., Evermann, J., Fettke, P.: A Novel Business Process Prediction Model Using a Deep Learning Method. Business and Information Systems Engineering. (2018).<br \/>\n22. Krause, B., Lu, L., Murray, I., Renals, S.: Multiplicative LSTM for sequence modelling. arXiv:1609.07959 [cs, stat]. (2016).<br \/>\n23. Bansal, T., Belanger, D., McCallum, A.: Ask the GRU: Multi-task Learning for Deep Text Recommendations. In: Proceedings of the 10th ACM Conference on Recommender Systems. pp. 107\u2013114. ACM, New York, NY, USA (2016).<br \/>\n24. Jozefowicz, R., Zaremba, W., Sutskever, I.: An empirical exploration of recurrent network architectures. In: International Conference on Machine Learning. pp. 2342\u20132350 (2015).<br \/>\n25. Dauphin, Y.N., Fan, A., Auli, M., Grangier, D.: Language Modeling with Gated Convolutional Networks. In: International Conference on Machine Learning. pp. 933\u2013941 (2017).<br \/>\n26. Hu, B., Lu, Z., Li, H., Chen, Q.: Convolutional neural network architectures for matching natural language sentences. In: Advances in neural information processing systems. pp. 2042\u20132050 (2014).<br \/>\n27. Daniluk, M., Rockt\u00e4schel, T., Welbl, J., Riedel, S.: Frustratingly short attention spans in neural language modeling. arXiv preprint arXiv:1702.04521. (2017).<br \/>\n28. Brown, A., Tuor, A., Hutchinson, B., Nichols, N.: Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. In: Proceedings of the First Workshop on Machine Learning for Computing Systems (2018).<br \/>\n29. Werlen, L.M., Pappas, N., Ram, D., Popescu-Belis, A.: Self-Attentive Residual Decoder for Neural Machine Translation. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). pp. 1366\u20131379 (2018).<br \/>\n30. Aalst, W.M.P. van der: Process mining: data science in action. Springer (2016).<br \/>\n31. Verbeek, H.E., Bose, R.J.C.: Prom 6 tutorial. Technical report, Tech. Rep. (2010).<br \/>\n32. Sokolova, M., Lapalme, G.: A systematic analysis of performance measures for classification tasks. Information Processing &amp; Management. 45, 427\u2013437 (2009).<br \/>\n33. Shepperd, M., Bowes, D., Hall, T.: Researcher bias: The use of machine learning in software defect prediction. IEEE Transactions on Software Engineering. 40, 603\u2013616 (2014).<br \/>\n34. Tax, N., Verenich, I., La Rosa, M., Dumas, M.: Predictive business process monitoring with LSTM neural networks. In: International Conference on Advanced Information Systems Engineering. pp. 477\u2013492. Springer (2017).<br \/>\n35. Van Dongen, B.F.: Real-life event logs &#8211; Hospital log. Eindhoven University of Technology (2011).<br \/>\n36. Van Dongen, B.F.: BPI Challenge 2012. Eindhoven University of Technology (2012).<br \/>\n37. Steeman, W.: BPI Challenge 2013. Ghent University (2013).<br \/>\n38. Verenich, I.: Helpdesk, https:\/\/data.mendeley.com\/datasets\/39bp3vv62t\/1, last accessed 2018\/05\/25.<br \/>\n39. Buijs, J.C.A.M.: Environmental permit application process (\u2018WABO\u2019), CoSeLoG project \u2013 Municipality 4. Eindhoven University of Technology (2014).<br \/>\n40. Adadi, A., Berrada, M.: Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI). IEEE Access. 6, 52138\u201352160 (2018).<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>1. Hilbert, A., Zschech, P.: Process Analytics. WISU. 942\u2013948 (2016). 2. van der Aalst, W.M.P., Zhao, J.L., Wang, H.J.: Business Process Intelligence: Connecting Data and Processes. ACM Transactions on Management Information Systems. 5,1-7 (2015). 3. zur Muehlen, M., Shapiro, R.: Business process analytics. In: Handbook on Business Process Management 2. pp. 137\u2013157. Springer (2010). 4.&hellip; <a class=\"more-link\" href=\"https:\/\/library.gito.de\/en\/2021\/07\/wi2020-zentrale-tracks-63\/\">Continue reading <span class=\"screen-reader-text\">WI2020 Zentrale Tracks<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[13],"tags":[],"class_list":["post-876","post","type-post","status-publish","format-standard","hentry","category-b","entry"],"acf":[],"_links":{"self":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/876","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/comments?post=876"}],"version-history":[{"count":2,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/876\/revisions"}],"predecessor-version":[{"id":3793,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/posts\/876\/revisions\/3793"}],"wp:attachment":[{"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/media?parent=876"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/categories?post=876"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/library.gito.de\/en\/wp-json\/wp\/v2\/tags?post=876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}