16 citations · 44 across the 9 of their papers we have counts for
4 papers · 1 filter
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
Meghdad Kurmanji, Peter Triantafillou
Machine Learning (ML) is changing DBs as many DB components are being replaced by ML models. One open problem in this setting is how to update such ML models in the presence of dat…
Graphical Join: A New Physical Join Algorithm for RDBMSs
Ali Mohammadi Shanghooshabad, Peter Triantafillou
Join operations (especially n-way, many-to-many joins) are known to be time- and resource-consuming. At large scales, with respect to table and join-result sizes, current state of…
Model Joins: Enabling Analytics Over Joins of Absent Big Tables
Ali Mohammadi Shanghooshabad, Peter Triantafillou
This work is motivated by two key facts. First, it is highly desirable to be able to learn and perform knowledge discovery and analytics (LKD) tasks without the need to access raw-…
Weighted Random Sampling over Joins
Michael Shekelyan, Graham Cormode, Peter Triantafillou +2
Joining records with all other records that meet a linkage condition can result in an astronomically large number of combinations due to many-to-many relationships. For such challe…