activity
20122021
most citedCICLAD: A Fast and Memory-efficient Closed Itemset Miner for Streams

12 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CR2021

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…

cs.DB202012 cited

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)…

cs.SE20193 cited

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…

cs.LG2018

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…

cs.LG2017

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…

cs.NI2012

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…