14 citations · 32 across the 14 of their papers we have counts for
6 papers · 1 filter
On the Road from Edge Computing to the Edge Mesh
Panagiotis Oikonomou, Anna Karanika, Christos Anagnostopoulos +1
Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous devices performing interactions between them or with end users. The huge number of devices leads…
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models
Kostas Kolomvatsos, Christos Anagnostopoulos
The combination of Internet of Things (IoT) and Edge Computing (EC) can assist in the delivery of novel applications that will facilitate end users activities. Data collected by nu…
Data Synopses Management based on a Deep Learning Model
Panagiotis Fountas, Kostas Kolomvatsos, Christos Anagnostopoulos
Pervasive computing involves the placement of processing services close to end users to support intelligent applications. With the advent of the Internet of Things (IoT) and the Ed…
Proactive Tasks Management based on a Deep Learning Model
Kostas Kolomvatsos, Christos Anagnotopoulos
Pervasive computing applications deal with intelligence surrounding users that can facilitate their activities. This intelligence is provided in the form of software components inc…
On the Use of Interpretable Machine Learning for the Management of Data Quality
Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos +1
Data quality is a significant issue for any application that requests for analytics to support decision making. It becomes very important when we focus on Internet of Things (IoT)…
ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning
Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou
As more and more organizations rely on data-driven decision making, large-scale analytics become increasingly important. However, an analyst is often stuck waiting for an exact res…