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20232026
most citedImproved Approximation Algorithms for Relational Clustering

1 citations · 1 across the 8 of their papers we have counts for

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cs.DB2026

Weighted Set Multi-Cover on Bounded Universe and Applications in Package Recommendation

Nima Shahbazi, Aryan Esmailpour, Stavros Sintos

The weighted set multi-cover problem is a fundamental generalization of set cover that arises in data-driven applications where one must select a small, low-cost subset from a larg…

cs.DB2026

Faster Relational Algorithms Using Geometric Data Structures

Aryan Esmailpour, Stavros Sintos

Optimization tasks over relational data, such as clustering, often suffer from the prohibitive cost of join operations, which are necessary to access the full dataset. While geomet…

cs.DB2025

Subset Sampling over Joins

Aryan Esmailpour, Xiao Hu, Jinchao Huang +1

Subset sampling (also known as Poisson sampling), where the decision to include any specific element in the sample is made independently of all others, is a fundamental primitive i…

cs.DB2025

Space-Time Tradeoffs for Spatial Conjunctive Queries

Aryan Esmailpour, Xiao Hu, Stavros Sintos

Given a conjunctive query and a database instance, we aim to develop an index that can efficiently answer spatial queries on the results of a conjunctive query. We are interested i…

cs.DB2025

A Theoretical Framework for Distribution-Aware Dataset Search

Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury +1

Effective data discovery is a cornerstone of modern data-driven decision-making. Yet, identifying datasets with specific distributional characteristics, such as percentiles or pref…

cs.DB2024

Improved Approximation Algorithms for Relational Clustering

Aryan Esmailpour, Stavros Sintos

Clustering plays a crucial role in computer science, facilitating data analysis and problem-solving across numerous fields. By partitioning large datasets into meaningful groups, c…