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05/20/2021
A Rule Mining-Based Advanced Persistent Threats Detection System
Advanced persistent threats (APT) are stealthy cyber-attacks that are ai...
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07/03/2020
CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams
Mining association rules from data streams is a challenging task due to ...
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03/02/2018
Impact of Biases in Big Data
The underlying paradigm of big data-driven machine learning reflects the...
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01/17/2018
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage
In machine learning, a bias occurs whenever training sets are not repres...
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09/09/2017
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations
Power grids are critical infrastructure assets that face non-technical l...
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03/29/2017
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Which topics of machine learning are most commonly addressed in research...
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02/13/2017