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2019 INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2019) (2019)
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Mirko Polato et al.
COMPUTING (2018)
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Shmueli et al.
MIS QUARTERLY (2017)
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Niek Tax et al.
ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017) (2017)
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Nijat Mehdiyev et al.
2017 IEEE 19TH CONFERENCE ON BUSINESS INFORMATICS (CBI), VOL 1 (2017)
Data-driven Process Prioritization in Process Networks
Wolfgang Kratsch et al.
DECISION SUPPORT SYSTEMS (2017)
Predicting process behaviour using deep learning
Joerg Evermann et al.
DECISION SUPPORT SYSTEMS (2017)
A Deep Learning Approach for Predicting Process Behaviour at Runtime
Joerg Evermann et al.
BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2016 (2017)
Balanced multi-perspective checking of process conformance
Felix Mannhardt et al.
COMPUTING (2016)
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Oliver Mueller et al.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS (2016)
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Dominic Breuker et al.
MIS QUARTERLY (2016)
PlaNet - Photo Geolocation with Convolutional Neural Networks
Tobias Weyand et al.
COMPUTER VISION - ECCV 2016, PT VIII (2016)
PRISM - A Predictive Risk Monitoring Approach for Business Processes
Raffaele Conforti et al.
BUSINESS PROCESS MANAGEMENT, BPM 2016 (2016)
On the role of context in business process management
Jan vom Brocke et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2016)
Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions
Renuka Sindhgatta et al.
ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016) (2016)
Predictive Business Process Monitoring Framework with Hyperparameter Optimization
Chiara Di Francescomarino et al.
ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2016) (2016)
Prediction of business process durations using non-Markovian stochastic Petri nets
Andreas Rogge-Solti et al.
INFORMATION SYSTEMS (2015)
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Ibrahim Abaker Targio Hashem et al.
INFORMATION SYSTEMS (2015)
Compliance monitoring in business processes: Functionalities, application, and tool-support
Linh Thao Ly et al.
INFORMATION SYSTEMS (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
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Andreas Metzger et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2015)
A markov prediction model for data-driven semi-structured business processes
Geetika T. Lakshmanan et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2015)
Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
Anna Leontjeva et al.
BUSINESS PROCESS MANAGEMENT, BPM 2015 (2015)
Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction
Bokyoung Kang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Time prediction based on process mining
W. M. P. van der Aalst et al.
INFORMATION SYSTEMS (2011)
Estimation of prediction error by using K-fold cross-validation
Tadayoshi Fushiki
STATISTICS AND COMPUTING (2011)
A systematic analysis of performance measures for classification tasks
Marina Sokolova et al.
INFORMATION PROCESSING & MANAGEMENT (2009)
Business process intelligence
D Grigori et al.
COMPUTERS IN INDUSTRY (2004)
Generalizing generalizability in information systems research
AS Lee et al.
INFORMATION SYSTEMS RESEARCH (2003)
Learning to forget: Continual prediction with LSTM
FA Gers et al.
NEURAL COMPUTATION (2000)