12 citations · 26 across the 7 of their papers we have counts for
9 papers
A Rule Mining-Based Advanced Persistent Threats Detection System
Sidahmed Benabderrahmane, Ghita Berrada, James Cheney +1
Advanced persistent threats (APT) are stealthy cyber-attacks that are aimed at stealing valuable information from target organizations and tend to extend in time. Blocking all APTs…
CICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams
Tomas Martin, Guy Francoeur, Petko Valtchev
Mining association rules from data streams is a challenging task due to the (typically) limited resources available vs. the large size of the result. Frequent closed itemsets (FCI)…
Service-Oriented Re-engineering of Legacy JEE Applications: Issues and Research Directions
Hafedh Mili, Ghizlane El-Boussaidi, Anas Shatnawi +4
Service-orientation views applications as orchestrations of independent software services that (1) implement functions that are reusable across many applications, (2) can be invoke…
Impact of Biases in Big Data
Patrick Glauner, Petko Valtchev, Radu State
The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at…
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage
Patrick Glauner, Radu State, Petko Valtchev +1
In machine learning, a bias occurs whenever training sets are not representative for the test data, which results in unreliable models. The most common biases in data are arguably…
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations
Patrick Glauner, Niklas Dahringer, Oleksandr Puhachov +4
Power grids are critical infrastructure assets that face non-technical losses (NTL) such as electricity theft or faulty meters. NTL may range up to 40% of the total electricity dis…
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Patrick Glauner, Manxing Du, Victor Paraschiv +5
Which topics of machine learning are most commonly addressed in research? This question was initially answered in 2007 by doing a qualitative survey among distinguished researchers…
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses?
Patrick Glauner, Angelo Migliosi, Jorge Meira +3
Non-technical losses (NTL) occur during the distribution of electricity in power grids and include, but are not limited to, electricity theft and faulty meters. In emerging countri…
FlowME: Lattice-based Traffic Measurement
Petko Valtchev, Omar Mounaouar, Omar Cherkaoui +2
Flow-based traffic measurement is a very challenging problem: Managing counters for each individual traffic flow in hardware resources knowingly struggle to scale with high-speed l…