Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Georgia Kougka"'
Publikováno v:
IEEE Access, Vol 12, Pp 25397-25410 (2024)
The Product Data Model (PDM) is an example of a declarative data-centric approach to modelling information-intensive business processes, which offers flexibility and facilitates process optimization. Declarative approaches are the de facto choice in
Externí odkaz:
https://doaj.org/article/1cc219dba98e4b36a258895753b6eb75
Publikováno v:
Proceedings of the 14th International Conference on Management of Digital EcoSystems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f8758fa42318f2207a3c0d1d83a4e59
https://doi.org/10.1145/3508397.3564842
https://doi.org/10.1145/3508397.3564842
Publikováno v:
Information, Vol 10, Iss 7, p 225 (2019)
Business process redesign (BPR) is an organizational initiative for achieving competitive multi-faceted advantages regarding business processes, in terms of cycle time, quality, cost, customer satisfaction and other critical performance metrics. In s
Externí odkaz:
https://doaj.org/article/83acc966a75f4677bb080b428168be44
Autor:
Georgia Kougka
Η αύξηση των δεδομένων με ραγδαίο ρυθμό συντέλεσε στην ανάγκη για την ανάπτυξη αυτοματοποιημένων μηχανισμών επεξεργασίας και ανάλυσης
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c2e4d36c3d741e14046e4cbf2ca3ab2
https://doi.org/10.12681/eadd/41309
https://doi.org/10.12681/eadd/41309
Autor:
Gustavo Gonzalez Granadillo, Evmorfia Biliri, Nefeli Bountouni, Anastasios Gounaris, George Vlahavas, Georgia Kougka, Athanasios Naskos, Apostolos N. Papadopoulos, Athena Vakali, Christos Bellas
Publikováno v:
SN Computer Science. 1
As the confidentiality and integrity of modern health infrastructures is threatened by intrusions and real-time attacks related to privacy and cyber-security, there is a need for proposing novel methodologies to predict future incidents and identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6083af2c0acc5d6cf47ba81d15437969
https://doi.org/10.1007/s42979-020-00226-8
https://doi.org/10.1007/s42979-020-00226-8
Autor:
Cosmas Vamvalis, Daniel Caljouw, Theodoros Toliopoulos, Georgia Kougka, Athanasios Naskos, Anastasios Gounaris
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
Machine Learning and Knowledge Discovery in Databases-International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Communications in Computer and Information Science
Communications in Computer and Information Science-Machine Learning and Knowledge Discovery in Databases
PKDD/ECML Workshops (2)
Machine Learning and Knowledge Discovery in Databases-International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Communications in Computer and Information Science
Communications in Computer and Information Science-Machine Learning and Knowledge Discovery in Databases
We deal with a real predictive maintenance case study encountered in modern Industry 4.0 settings: based on logs of past failures, we train a model to predict critical failures of equipment without any other domain expert knowledge well in advance. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d9821d42d9fee66961f80b3f1d53443
https://doi.org/10.1007/978-3-030-43887-6_28
https://doi.org/10.1007/978-3-030-43887-6_28
Autor:
Kostas Vergidis, Konstantinos Varvoutas, George Tsakalidis, Anastasios Gounaris, Georgia Kougka
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIII ISBN: 9783662621981
This work deals with redesigning business process models, e.g., in BPMN, based on cost-based optimization techniques that were initially proposed for data analytics workflows. More specifically, it discusses execution cost and cycle time improvements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d26ff3391fa96a8b47785fc8bca0150
https://doi.org/10.1007/978-3-662-62199-8_3
https://doi.org/10.1007/978-3-662-62199-8_3
Autor:
Georgia Kougka, Anastasios Gounaris
Publikováno v:
Distributed and Parallel Databases. 37:385-410
Although the modern data flows are executed in parallel and distributed environments, e.g. on a multi-core machine or on the cloud, current cost models, e.g., those considered by state-of-the-art data flow optimization techniques, do not accurately r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c28adef85abec7ea63a8efbb6a2583
https://doi.org/10.1007/s10619-018-7243-3
https://doi.org/10.1007/s10619-018-7243-3
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Spark has become one of the main options for large-scale analytics running on top of shared-nothing clusters. This work aims to make a deep dive into the parallelism configuration and shed light on the behavior of parallel spark jobs. It is motivated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6af010886cd70f7f119c8c86904e1e
https://doi.org/10.1109/tpds.2017.2647939
https://doi.org/10.1109/tpds.2017.2647939
Autor:
Anastasios Gounaris, Juan Mora Zamorano, Georgia Kougka, Gustavo Gonzalez-Granadillo, Rodrigo Diaz, Antonio Jesús Díaz-Honrubia, Alejandro Rodríguez González, Mariza Konidi, Sokratis Nifakos, Jesus Rey Jimenez, Panos Papachristou
Publikováno v:
ZENODO
CBMS
CBMS
Health sector is becoming more and more dependent on digital information every day. This fact can be exploited by cyber criminals who may obtain very lucrative benefits from stolen data. Moreover, a breach of integrity of health data can have terribl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b765d670137cd4e9b844206cc1d7b1b5
https://zenodo.org/record/3248549
https://zenodo.org/record/3248549