Marcello La Rosa

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University of Tartu ∙ qut ∙ The University of Melbourne

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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...
09/03/2020 ∙ by Zahra Dasht Bozorgi, et al. ∙ 9 ∙ share

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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...
07/30/2020 ∙ by Farbod Taymouri, et al. ∙ 0 ∙ share

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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...
05/07/2020 ∙ by Abderrahmane Maaradji, et al. ∙ 3 ∙ share

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Efficient Conformance Checking using Alignment Computation with Tandem Repeats

Conformance checking encompasses a body of process mining techniques whi...
04/02/2020 ∙ by Daniel Reißner, et al. ∙ 0 ∙ share

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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 ...
03/25/2020 ∙ by Farbod Taymouri, et al. ∙ 0 ∙ share

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Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...
01/03/2020 ∙ by Volodymyr Leno, et al. ∙ 14 ∙ share

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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...
12/23/2019 ∙ by Farbod Taymouri, et al. ∙ 0 ∙ share

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Business Process Variant Analysis: Survey and Classification

Process variant analysis aims at identifying and addressing the differen...
11/18/2019 ∙ by Farbod Taymouri, et al. ∙ 0 ∙ share

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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...
10/22/2019 ∙ by Daniel Reißner, et al. ∙ 0 ∙ share

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Process Query Language: Design, Implementation, and Evaluation

Organizations can benefit from the use of practices, techniques, and too...
09/20/2019 ∙ by Artem Polyvyanyy, et al. ∙ 0 ∙ share

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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...
05/08/2018 ∙ by Ilya Verenich, et al. ∙ 2 ∙ share

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Discovering Process Maps from Event Streams

Automated process discovery is a class of process mining methods that al...
04/08/2018 ∙ by Volodymyr Leno, et al. ∙ 0 ∙ share

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Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...
07/21/2017 ∙ by Irene Teinemaa, et al. ∙ 0 ∙ share

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Predictive Business Process Monitoring with LSTM Neural Networks

Predictive business process monitoring methods exploit logs of completed...
12/07/2016 ∙ by Niek Tax, et al. ∙ 0 ∙ share

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