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05/23/2023
Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language
In this paper we present the Process-To-Text (P2T) framework for the aut...
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05/16/2023
Fuzzy Temporal Protoforms for the Quantitative Description of Processes in Natural Language
In this paper, we propose a series of fuzzy temporal protoforms in the f...
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11/29/2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Predictive monitoring is a subfield of process mining that aims to predi...
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07/22/2022
Gradual Drift Detection in Process Models Using Conformance Metrics
Changes, planned or unexpected, are common during the execution of real-...
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12/17/2021
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
Predictive monitoring of business processes is a subfield of process min...
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09/24/2020
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
Predictive monitoring of business processes is concerned with the predic...
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07/09/2019
A Conformance Checking-based Approach for Drift Detection in Business Processes
Real life business processes change over time, in both planned and unexp...
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10/11/2017
Mining Frequent Patterns in Process Models
Process mining has emerged as a way to analyze the behavior of an organi...
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09/21/2015
Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition
In this paper we present a hybrid approach for automatic composition of ...
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02/10/2015
