Hanene Azzag

State-of-the-art on clustering data streams

2016 · Big Data Analytics

Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are similar and the inter-cluster observations are dissimilar. The traditional set-up …

Self-Reinforcement Attention Mechanism For Tabular Learning

2023 · arXiv (Cornell University)

Apart from the high accuracy of machine learning models, what interests many researchers in real-life problems (e.g., fraud detection, credit scoring) is to find hidden patterns in data; particularly when dealing with their challenging imbalanced …