Eleazar Leal

Orcid: 0000-0002-3055-1845

According to our database1, Eleazar Leal authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
GTraclus: a novel algorithm for local trajectory clustering on GPUs.
Distributed Parallel Databases, September, 2023

2022
A survey on outlier explanations.
VLDB J., 2022

2021
Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization.
Proceedings of the Model and Data Engineering - 10th International Conference, 2021

GTraclus: A Local Trajectory Clustering Algorithm for GPUs.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

A GPU Algorithm for Detecting Contextual Outliers in Multiple Concurrent Data Streams.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
DRLindex: deep reinforcement learning index advisor for a cluster database.
Proceedings of the IDEAS 2020: 24th International Database Engineering & Applications Symposium, 2020

Online Index Selection Using Deep Reinforcement Learning for a Cluster Database.
Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

A Persistent Memory-Aware Buffer Pool Manager Simulator for Multi-Tenant Cloud Databases.
Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

2019
An Experimental Comparison of GPU Techniques for DBSCAN Clustering.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Using Timed Sequential Patterns in the Transportation Industry.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Study on Database Cracking with GPUs.
Proceedings of the 10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, 2019

2018
Research Issues of Outlier Detection in Trajectory Streams Using GPUs.
SIGKDD Explor., 2018

Wadjet: Finding Outliers in Multiple Multi-Dimensional Heterogeneous Data Streams.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Impact of Trajectory Segmentation on Discovering Trajectory Sequential Patterns.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

DynMDL: A Parallel Trajectory Segmentation Algorithm.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017
Parallel Compression and Indexing of Large-Scale Geospatial Raster Data with GPGPUs.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
In pursuit of outliers in multi-dimensional data streams.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Handling uncertainty in trajectories of moving objects in unconstrained outdoor spaces.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Towards an Efficient Top-K Trajectory Similarity Query Processing Algorithm for Big Trajectory Data on GPGPUs.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
TKSimGPU: A parallel top-K trajectory similarity query processing algorithm for GPGPUs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Parallel QuadTree encoding of large-scale raster geospatial data on multicore CPUs and GPGPUs.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2014


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