Ilias K. Savvas, Professor of Computer Science, University of Thessaly
Ilias K. Savvas, Professor of Computer Science, University of Thessaly
Καθηγητής της Επιστήμης των Υπολογιστών
Verified email at uth.gr - Homepage
Title
Cited by
Cited by
Year
Agent-based resource discovery and selection for dynamic grids
G Kakarontzas, IK Savvas
15th IEEE International Workshops on Enabling Technologies: Infrastructure …, 2006
332006
Dynamic task scheduling in computing cluster environments
IK Savvas, MT Kechadi
Third International Symposium on Parallel and Distributed Computing/Third …, 2004
292004
A novel near-parallel version of k-means algorithm for n-dimensional data objects using mpi
IK Savvas, GN Sofianidou
International Journal of Grid and Utility Computing 7 (2), 80-91, 2016
222016
Supporting the requirements prioritization process using social network analysis techniques
P Fitsilis, V Gerogiannis, L Anthopoulos, IK Savvas
2010 19th IEEE International Workshops on Enabling Technologies …, 2010
222010
Parallelizing DBSCAN algorithm using MPI
IK Savvas, D Tselios
2016 IEEE 25th International Conference on Enabling Technologies …, 2016
212016
Detection of point anomalies in railway intelligent control system using fast clustering techniques
AV Chernov, IK Savvas, MA Butakova
International Conference on Intelligent Information Technologies for …, 2018
162018
Dynamic task scheduling for irregular network topologies
MT Kechadi, IK Savvas
Parallel Computing 31 (7), 757-776, 2005
152005
Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics
O Iatrellis, IK Savvas, A Kameas, P Fitsilis
Education and Information Technologies 25 (4), 3109-3129, 2020
112020
Parallelizing k-means algorithm for 1-d data using mpi
IK Savvas, GN Sofianidou
2014 IEEE 23rd International WETICE Conference, 179-184, 2014
112014
Mining on the cloud-K-means with MapReduce
IK Savvas, MT Kechadi
International Conference on Cloud Computing and Services Science 2, 413-418, 2012
82012
A Data Warehouse Approach for Business Intelligence
G Garani, A Chernov, I Savvas, M Butakova
2019 IEEE 28th International Conference on Enabling Technologies …, 2019
72019
Multiple project portfolio scheduling using recurrent neural networks
DC Tselios, IK Savvas, MT Kechadi
International Journal of Simulation and Process Modelling 6 8 (4), 227-240, 2013
72013
On the load distribution and performance of meta-computing systems
IK Savvas, T Kechadi
Proceedings of the Second international conference on Parallel and …, 2003
72003
Increasing the quality and performance of N-dimensional point anomaly detection in traffic using PCA and DBSCAN
IK Savvas, AV Chernov, MA Butakova, C Chaikalis
2018 26th Telecommunications Forum (TELFOR), 1-4, 2018
62018
Combining distributed and multi-core programming techniques to increase the performance of k-means algorithm
IK Savvas, D Tselios
2017 IEEE 26th International Conference on Enabling Technologies …, 2017
62017
Reconfigurability and performance of mobile routing protocols for VANET applications
C Chaikalis, V Markoulis, IK Savvas, KE Anagnostou
2017 25th Telecommunication Forum (TELFOR), 1-4, 2017
42017
A study of comparative clustering of EU countries using the DBSCAN and k-means techniques within the theoretical framework of systemic geopolitical analysis
IK Savvas, A Stogiannos, IT Mazis
International Journal of Grid and Utility Computing 8 (2), 94-108, 2017
42017
Project portfolio: A job scheduling approach
D Tselios, IK Savvas, MT Kechadi
2012 Sixth International Conference on Complex, Intelligent, and Software …, 2012
42012
Agents, clusters and components: A synergistic approach to the GSP
G Kakarontzas, IK Savvas, I Stamelos
Future Generation Computer Systems 27 (8), 999-1010, 2011
42011
Applying the k-means algorithm in big raw data sets with Hadoop and MapReduce
IK Savvas, GN Sofianidou, MT Kechadi
Business Intelligence: Concepts, Methodologies, Tools, and Applications …, 2016
32016
The system can't perform the operation now. Try again later.
Articles 1–20