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Join Path Based Data Augmentation for Decision Trees
Machine Learning (ML) applications require high-quality datasets. Automated data augmentation techniques can help increase the richness …
Andra Ionescu, Rihan Hai, Marios Fragkoulis, Asterios Katsifodimos
Amalur: Data Integration Meets Machine Learning
The data needed for machine learning (ML) model training, can reside in different separate sites often termed data silos. For …
Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos
An Empirical Performance Comparison between Matrix Multiplication Join and Hash Join on GPUs

Recent advances in Graphic Processing Units (GPUs) have facilitated a significant performance boost for database operators, in …
Wenbo Sun, Asterios Katsifodimos, Rihan Hai
Metadata Representations for Queryable ML Model Zoos
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing …
Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos