Deep Learning Process Prediction with Discrete and Continuous Data Features
暂无分享,去创建一个
[1] Jana-Rebecca Rehse,et al. Predicting process behaviour using deep learning , 2016, Decis. Support Syst..
[2] Boudewijn F. van Dongen,et al. Cycle Time Prediction: When Will This Case Finally Be Finished? , 2008, OTM Conferences.
[3] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[4] Moe Thandar Wynn,et al. Predicting Deadline Transgressions Using Event Logs , 2012, Business Process Management Workshops.
[5] Wil M. P. van der Aalst,et al. Time prediction based on process mining , 2011, Inf. Syst..
[6] Boudewijn F. van Dongen,et al. XES, XESame, and ProM 6 , 2010, CAiSE Forum.
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] Wil M. P. van der Aalst,et al. Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .
[9] Alessandro Sperduti,et al. Time and activity sequence prediction of business process instances , 2016, Computing.
[10] Matthias Weidlich,et al. Queue Mining - Predicting Delays in Service Processes , 2014, CAiSE.
[11] Stefan Jablonski,et al. Dynamic guidance enhancement in workflow management systems , 2012, SAC '12.
[12] Jörg Becker,et al. Designing and implementing a framework for event-based predictive modelling of business processes , 2014, EMISA.
[13] Jürgen Schmidhuber,et al. Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.
[14] Christian Sturm,et al. Distributed Multi-Perspective Declare Discovery , 2017, BPM.
[15] Stefan Jablonski,et al. Towards Simulation- and Mining-based Translation of Resource-aware Process Models , 2016, Business Process Management Workshops.
[16] Edward F. Watson,et al. Business Process Automation , 2009, Handbook of Automation.
[17] Fabrizio Maria Maggi,et al. Predictive Monitoring of Business Processes , 2013, CAiSE.
[18] P. Mahadevan,et al. An overview , 2007, Journal of Biosciences.
[19] Marlon Dumas,et al. Predictive Business Process Monitoring with LSTM Neural Networks , 2016, CAiSE.
[20] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[21] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[22] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[23] Jan Mendling,et al. Discovery of Multi-perspective Declarative Process Models , 2016, ICSOC.
[24] Jörg Becker,et al. Comprehensible Predictive Models for Business Processes , 2016, MIS Q..
[25] Klaus Pohl,et al. Comparing and Combining Predictive Business Process Monitoring Techniques , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[26] Fabrizio Maria Maggi,et al. Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes , 2015, BPM.