activity
20132022
most citedBall*-tree: Efficient spatial indexing for constrained nearest-neighbor search in metric spaces

20 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2022

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Yuan He, Jiaoyan Chen, Hang Dong +3

Ontology Matching (OM) plays an important role in many domains such as bioinformatics and the Semantic Web, and its research is becoming increasingly popular, especially with the a…

cs.DB2021★ 3 cited

Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction

Ali Hadian, Thomas Heinis

Indexing large-scale databases in main memory is still challenging today. Learned index structures -- in which the core components of classical indexes are replaced with machine le…

cs.DB2020★ 4 cited

Hands-off Model Integration in Spatial Index Structures

Ali Hadian, Ankit Kumar, Thomas Heinis

Spatial indexes are crucial for the analysis of the increasing amounts of spatial data, for example generated through IoT applications. The plethora of indexes that has been develo…

cs.DB2020★ 2 cited

COAX: Correlation-Aware Indexing on Multidimensional Data with Soft Functional Dependencies

Ali Hadian, Behzad Ghaffari, Taiyi Wang +1

Recent work proposed learned index structures, which learn the distribution of the underlying dataset to improve performance. The initial work on learned indexes has shown that by…

cs.DB2015★ 20 cited

Ball*-tree: Efficient spatial indexing for constrained nearest-neighbor search in metric spaces

Mohamad Dolatshah, Ali Hadian, Behrouz Minaei-Bidgoli

Emerging location-based systems and data analysis frameworks requires efficient management of spatial data for approximate and exact search. Exact similarity search can be done usi…

cs.IR2013★ 1 cited

Multi-View Learning for Web Spam Detection

Ali Hadian, Behrouz Minaei-Bidgoli

Spam pages are designed to maliciously appear among the top search results by excessive usage of popular terms. Therefore, spam pages should be removed using an effective and effic…