Georgia Kougka

According to our database, Georgia Kougka authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimizing the Execution of Product Data Models.

Konstantinos Varvoutas, Christos Bellas, Georgia Kougka, Anastasios Gounaris

IEEE Access, 2024

2023

Systematic exploitation of parallel task execution in business processes.

Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris

Comput. Sci. Inf. Syst., 2023

2022

Rank-based Heuristics for Optimizing the Execution of Product Data Models.

Konstantinos Varvoutas, Anastasios Gounaris, Georgia Kougka, Hajo A. Reijers

CoRR, 2022

Facilitating DoS Attack Detection using Unsupervised Anomaly Detection.

Christos Bellas, Georgia Kougka, Athanasios Naskos, Anastasios Gounaris, Athena Vakali, Christos Xenakis, Apostolos Papadopoulos

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Optimizing Business Processes through Parallel Task Execution.

Konstantinos Varvoutas, Georgia Kougka, Anastasios Gounaris

Proceedings of the 14th International Conference on Management of Digital EcoSystems, 2022

2021

Mapping DMN to PDM to Enable Optimizations.

Konstantinos Varvoutas, Anastasios Gounaris, Georgia Kougka

Proceedings of the The British International Conference on Databases 2021, 2021

2020

On Knowledge Transfer from Cost-Based Optimization of Data-Centric Workflows to Business Process Redesign.

Georgia Kougka, Konstantinos Varvoutas, Anastasios Gounaris, George Tsakalidis, Kostas Vergidis

Trans. Large Scale Data Knowl. Centered Syst., 2020

A Methodology for Runtime Detection and Extraction of Threat Patterns.

Christos Bellas, Athanasios Naskos, Georgia Kougka, George Vlahavas, Anastasios Gounaris, Athena Vakali, Apostolos Papadopoulos, Evmorfia Biliri, Nefeli Bountouni, Gustavo Gonzalez Granadillo

SN Comput. Sci., 2020

2019

Eligibility of BPMN Models for Business Process Redesign.

George Tsakalidis, Kostas Vergidis, Georgia Kougka, Anastasios Gounaris

Inf., 2019

Optimization of data flow execution in a parallel environment.

Georgia Kougka, Anastasios Gounaris

Distributed Parallel Databases, 2019

Event-Based Predictive Maintenance on Top of Sensor Data in a Real Industry 4.0 Case Study.

Athanasios Naskos, Georgia Kougka, Theodoros Toliopoulos, Anastasios Gounaris, Cosmas Vamvalis, Daniel Caljouw

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Overview of the CUREX Platform.

Antonio Jesús Díaz-Honrubia, Alejandro Rodríguez González, Juan Mora Zamorano, Jesús Rey Jiménez, Gustavo Gonzalez Granadillo, Rodrigo Diaz, Mariza Konidi, Panos Papachristou, Sokratis Nifakos, Georgia Kougka, Anastasios Gounaris

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

The many faces of data-centric workflow optimization: a survey.

Georgia Kougka, Anastasios Gounaris, Alkis Simitsis

Int. J. Data Sci. Anal., 2018

2017

Βελτιστοποίηση ροών εργασιών για ανάλυση δεδομένων

Georgia Kougka

PhD thesis, 2017

Dynamic Configuration of Partitioning in Spark Applications.

Anastasios Gounaris, Georgia Kougka, Rubén Tous, Carlos Tripiana Montes, Jordi Torres

IEEE Trans. Parallel Distributed Syst., 2017

Cost Optimization of Data Flows Based on Task Re-ordering.

Georgia Kougka, Anastasios Gounaris

Trans. Large Scale Data Knowl. Centered Syst., 2017

Modeling Data Flow Execution in a Parallel Environment.

Georgia Kougka, Anastasios Gounaris, Ulf Leser

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Optimal Task Ordering in Chain Data Flows: Exploring the Practicality of Non-scalable Solutions.

Georgia Kougka, Anastasios Gounaris

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2015

Practical algorithms for execution engine selection in data flows.

Georgia Kougka, Anastasios Gounaris, Kostas Tsichlas

Future Gener. Comput. Syst., 2015

2014

Optimization of Data-intensive Flows: Is it Needed? Is it Solved?

Georgia Kougka, Anastasios Gounaris

Proceedings of the 17th International Workshop on Data Warehousing and OLAP, 2014

2013

Declarative Expression and Optimization of Data-Intensive Flows.

Georgia Kougka, Anastasios Gounaris

Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012

On Optimizing Workflows Using Query Processing Techniques.

Georgia Kougka, Anastasios Gounaris

Proceedings of the Scientific and Statistical Database Management, 2012