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ORCIDIoannis Mavroudopoulos
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2020 – today
- 2024
[c5]Ioannis Mavroudopoulos, Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris, Marco Comuzzi:
Exploiting General Purpose Big-Data Frameworks in Process Mining: The Case of Declarative Process Discovery. BPM 2024: 185-202- [i1]Ioannis Mavroudopoulos, Anastasios Gounaris:
A Comprehensive Scalable Framework for Cloud-Native Pattern Detection with Enhanced Expressiveness. CoRR abs/2401.09960 (2024) - 2023
- [j3]Ioannis Mavroudopoulos, Anastasios Gounaris
:
A comparison of proximity-based methods for detecting temporal anomalies in business processes. Mach. Learn. 112(11): 4101-4128 (2023) - [j2]Ioannis Mavroudopoulos, Anastasios Gounaris:
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis. IEEE Trans. Big Data 9(3): 975-990 (2023) - [c4]Apostolos Giannoulidis, Ioannis Mavroudopoulos:
Enhanced Edge Prediction, a case study: predicting links in Wikipedia sites. DSAA 2023: 1-4 - [c3]Ioannis Mavroudopoulos, Theodoros Toliopoulos, Anastasios Gounaris, Georgios Kynigopoulos, Andreas Andreadis, Ilias Kalfas:
HARVEST: a complete solution for smart agriculture monitoring. EDBT/ICDT Workshops 2023 - 2022
- [j1]Ilias Dimitriadis, Ioannis Mavroudopoulos, Styliani Kyrama, Theodoros Toliopoulos, Anastasios Gounaris, Athena Vakali, Antonis Billis, Panagiotis D. Bamidis:
Scalable real-time health data sensing and analysis enabling collaborative care delivery. Soc. Netw. Anal. Min. 12(1): 63 (2022) - 2021
- [c2]Ioannis Mavroudopoulos, Theodoros Toliopoulos, Christos Bellas, Andreas Kosmatopoulos, Anastasios Gounaris:
Sequence detection in event log files. EDBT 2021: 85-96 - 2020
- [c1]Ioannis Mavroudopoulos, Anastasios Gounaris:
Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods. DS 2020: 615-629
Coauthor Index
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