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Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs
This paper proposes an approach to analyze an event log of a business pr...
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Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Predication of Business Process Models
This paper proposes an encoder-decoder architecture grounded on Generati...
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Detecting sudden and gradual drifts in business processes from execution traces
Business processes are prone to unexpected changes, as process workers m...
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Efficient Conformance Checking using Alignment Computation with Tandem Repeats
Conformance checking encompasses a body of process mining techniques whi...
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Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
Predictive process monitoring aims to predict future characteristics of ...
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Automated Discovery of Data Transformations for Robotic Process Automation
Robotic Process Automation (RPA) is a technology for automating repetiti...
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Business Process Variant Analysis based on Mutual Fingerprints of Event Logs
Comparing business process variants using event logs is a common use cas...
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Business Process Variant Analysis: Survey and Classification
Process variant analysis aims at identifying and addressing the differen...
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Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components
Given a model of the expected behavior of a business process and an even...
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Process Query Language: Design, Implementation, and Evaluation
Organizations can benefit from the use of practices, techniques, and too...
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Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Predictive business process monitoring methods exploit historical proces...
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Discovering Process Maps from Event Streams
Automated process discovery is a class of process mining methods that al...
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Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
Predictive business process monitoring refers to the act of making predi...
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Predictive Business Process Monitoring with LSTM Neural Networks
Predictive business process monitoring methods exploit logs of completed...
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