4 papers
Machine Learning over Static and Dynamic Relational Data
Ahmet Kara, Milos Nikolic, Dan Olteanu +1
This tutorial overviews principles behind recent works on training and maintaining machine learning models over relational data, with an emphasis on the exploitation of the relatio…
F-IVM: Learning over Fast-Evolving Relational Data
Milos Nikolic, Haozhe Zhang, Ahmet Kara +1
F-IVM is a system for real-time analytics such as machine learning applications over training datasets defined by queries over fast-evolving relational databases. We will demonstra…
Maintaining Triangle Queries under Updates
Ahmet Kara, Milos Nikolic, Hung Q. Ngo +2
We consider the problem of incrementally maintaining the triangle queries with arbitrary free variables under single-tuple updates to the input relations. We introduce an approach…
Counting Triangles under Updates in Worst-Case Optimal Time
Ahmet Kara, Hung Q. Ngo, Milos Nikolic +2
We consider the problem of incrementally maintaining the triangle count query under single-tuple updates to the input relations. We introduce an approach that exhibits a space-time…