Salman Salloum

Orcid: 0000-0002-6750-003X

According to our database1, Salman Salloum authored at least 15 papers between 2016 and 2023.

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

Timeline

Legend:

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Bibliography

2023
A novel observation points-based positive-unlabeled learning algorithm.
CAAI Trans. Intell. Technol., December, 2023

Observation points classifier ensemble for high-dimensional imbalanced classification.
CAAI Trans. Intell. Technol., June, 2023

A review of optimization methods for computation offloading in edge computing networks.
Digit. Commun. Networks, April, 2023

2021
RSP-Hist: Approximate Histograms for Big Data Exploration on Hadoop Clusters.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
A survey of data partitioning and sampling methods to support big data analysis.
Big Data Min. Anal., 2020

2019
Random Sample Partition: A Distributed Data Model for Big Data Analysis.
IEEE Trans. Ind. Informatics, 2019

Exploring and cleaning big data with random sample data blocks.
J. Big Data, 2019

An Asymptotic Ensemble Learning Framework for Big Data Analysis.
IEEE Access, 2019

A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
Ensemble subspace clustering of text data using two-level features.
Int. J. Mach. Learn. Cybern., 2017

A Random Sample Partition Data Model for Big Data Analysis.
CoRR, 2017

2016
Big data analytics on Apache Spark.
Int. J. Data Sci. Anal., 2016

A frequency-based gene selection method with random forests for gene data analysis.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Empirical analysis of asymptotic ensemble learning for big data.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016


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