activity
20092021
most citedPrivacy Preserving Moving KNN Queries

2 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Fast, Accurate and Interpretable Time Series Classification Through Randomization

Nestor Cabello, Elham Naghizade, Jianzhong Qi +1

Time series classification (TSC) aims to predict the class label of a given time series, which is critical to a rich set of application areas such as economics and medicine. State-…

cs.DB2021★ 1 cited

A Lazy Approach for Efficient Index Learning

Guanli Liu, Lars Kulik, Xingjun Ma +1

Learned indices using neural networks have been shown to outperform traditional indices such as B-trees in both query time and memory. However, learning the distribution of a large…

cs.DB2019

A Differentially Private Algorithm for Range Queries on Trajectories

Soheila Ghane, Lars Kulik, Kotagiri Ramamohanarao

We propose a novel algorithm to ensure -differential privacy for answering range queries on trajectory data. In order to guarantee privacy, differential privacy mechanisms add n…

cs.DB2019★ 2 cited

GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties

Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic +1

On-demand ride-sharing is rapidly growing.Matching trip requests to vehicles efficiently is critical for the service quality of ride-sharing. To match trip requests with vehicles,…

cs.DB2011★ 2 cited

Privacy Preserving Moving KNN Queries

Tanzima Hashem, Lars Kulik, Rui Zhang

We present a novel approach that protects trajectory privacy of users who access location-based services through a moving k nearest neighbor (MkNN) query. An MkNN query continuousl…

cs.DC2009

Decentralized Traffic Management Strategies for Sensor-Enabled Cars

Ziyuan Wang, Lars Kulik, Kotagiri Ramamohanarao

Traffic Congestions and accidents are major concerns in today's transportation systems. This thesis investigates how to optimize traffic flow on highways, in particular for merging…