Tools & Apps

HARVEST – an end-to-end solution for smart agriculture monitoring

HARVEST has been developed in collaboration with the American Farm School of Thessaloniki. Its goal is to harvest the knowledge that can be generated by the advanced processing of farm sensing data through applying cutting-edge
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Twitter Monitoring App – Wiretapping use case

The Twitter Monitoring App has been launched by members of the Data and Web Science Lab (DATALAB), the research group of the Department of Informatics, Aristotle University of Thessaloniki, Greece, being specialized in ICT research
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Political Lighthouse

Political polarization refers to the divergence of political opinions away from the center / neutral opinions towards ideological extremes. Political discussions can frequently become polarized, a phenomenon becoming more intense in social media discussions, such
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Data^3 – Data ingestion and processing pipeline from fog to cloud

Stream processing pipeline consisting of several scalable and fault-tolerant open-source frameworks for data processing and transfer between fog and cloud networks.

FogBow – In-memory database for fog environments

FogBow is a distributed main-memory database that implement custom data placement algorithms tailored to dynamic fog environments.

UNDO – The Ukraine Data Observatory

The Ukraine Data Observatory is a platform for analyzing and visualizing data related to the war between Ukraine and Russia that broke out on February 24, 2022.

Knowledge Extraction Analytics

KEA follows a hybrid approach, through advocating ensemble Data Science techniques, for misuse and anomaly detection from health data sources or network monitoring.

PlasticTwist Crowdsourcing

PlasticTwist Crowdsourcing tool offers a presentation and visualization of social media data regarding plastic.

CovidDEXP

CovidDExp (COVID-19 Data Exploration) is a dashboard presenting data with respect to the COVID-19 pandemic.

Bot-Detective

Bot Detective checks the activity of a Twitter account and assigns it a score based on the likelihood of the account being a bot.

PROUD

PROUD is an open-source high-throughput distributed outlier detection engine for intense data streams that is implemented in Scala on top of the Apache Flink framework.

Streaming outlier detection

Datalab is a pioneer in streaming distance-based outlier detection and contributes outlier detection functionalities to the well-known “MOA Machine Learning for Streams” tool.