activity
20182026
most citedF-IVM: Analytics over Relational Databases under Updates

7 citations · 17 across the 8 of their papers we have counts for

collaborators

10 papers

cs.DB2026

The Role of Semirings in Incremental View Maintenance

Eden Chmielewski, Andrei Draghici, Dan Olteanu +1

We study the problem of incremental view maintenance (IVM) under inserts to semiring-annotated databases. The key observation put forward in this paper is that the complexity of th…

cs.DB2025★ 1 cited

LpBound: Pessimistic Cardinality Estimation using -Norms of Degree Sequences

Haozhe Zhang, Christoph Mayer, Mahmoud Abo Khamis +2

Cardinality estimation is the problem of estimating the size of the output of a query, without actually evaluating the query. The cardinality estimator is a critical piece of a que…

cs.DB2024

Tractable Conjunctive Queries over Static and Dynamic Relations

Ahmet Kara, Zheng Luo, Milos Nikolic +2

We investigate the evaluation of conjunctive queries over static and dynamic relations. While static relations are given as input and do not change, dynamic relations are subject t…

cs.DB2023★ 7 cited

F-IVM: Analytics over Relational Databases under Updates

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

This article describes F-IVM, a unified approach for maintaining analytics over changing relational data. We exemplify its versatility in four disciplines: processing queries with…

cs.DB2022★ 2 cited

Conjunctive Queries with Free Access Patterns under Updates

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

We study the problem of answering conjunctive queries with free access patterns (CQAPs) under updates. A free access pattern is a partition of the free variables of the query into…

cs.DB2021

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…

cs.DB2020

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…

cs.DB2020

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…

cs.DB2019★ 7 cited

Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries

Ahmet Kara, Milos Nikolic, Dan Olteanu +1

We investigate trade-offs in static and dynamic evaluation of hierarchical queries with arbitrary free variables. In the static setting, the trade-off is between the time to partia…

cs.DB2018

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…