Youcef Djenouri

Maintenance of Discovered High Average-Utility Itemsets in Dynamic Databases

2018 · Applied Sciences

High-utility itemset mining (HUIM) is an extension of traditional frequent itemset mining, which considers both quantities and unit profits of items in a database to reveal highly profitable itemsets regardless of their size. High average-utility …

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio–Temporal Traffic Flow

2019 · IEEE Access

Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances in the outlier detection area …

Comparative Study on Trajectory Outlier Detection Algorithms

2019

This paper explores, reviews, and evaluates the existing outlier trajectory detection using small, large and big databases. We divide existing solutions into two main categories: similarity-based, and clustering-based approaches. The first category groups solutions employing …

Uncertain-Driven Analytics of Sequence Data in IoCV Environments

2020 · IEEE Transactions on Intelligent Transportation Systems

As the increasing availability and use of dynamic mobile communications, information from an Internet of Things (IoT) subset of devices, known as Internet of Connected Vehicles (IoCV), is collected with a level of uncertainty. To …

Emergent Deep Learning for Anomaly Detection in Internet of Everything

2021 · IEEE Internet of Things Journal

This research presents a new generic deep learning (DL) framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect outliers in IoE …