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A Random Sample Partition Data Model for Big Data Analysis
v1v2 (latest)

A Random Sample Partition Data Model for Big Data Analysis

12 December 2017
Salman Salloum
Yulin He
J. Huang
Xiaoliang Zhang
Tamer Z. Emara
Chenghao Wei
Heping He
ArXiv (abs)PDFHTML

Papers citing "A Random Sample Partition Data Model for Big Data Analysis"

4 / 4 papers shown
Title
Block size estimation for data partitioning in HPC applications using
  machine learning techniques
Block size estimation for data partitioning in HPC applications using machine learning techniques
Riccardo Cantini
Fabrizio Marozzo
A. Orsino
Domenico Talia
Paolo Trunfio
Rosa M. Badia
J. Ejarque
Fernando Vazquez
18
5
0
19 Nov 2022
Randomized Response Mechanisms for Differential Privacy Data Analysis:
  Bounds and Applications
Randomized Response Mechanisms for Differential Privacy Data Analysis: Bounds and Applications
Fei Ma
Ping Wang
58
5
0
14 Dec 2021
On the Use of Interpretable Machine Learning for the Management of Data
  Quality
On the Use of Interpretable Machine Learning for the Management of Data Quality
Anna Karanika
Panagiotis Oikonomou
Kostas Kolomvatsos
Christos Anagnostopoulos
32
1
0
29 Jul 2020
An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets
An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets
Theocharis Koukaras
Kostas Kolomvatsos
11
0
0
28 Jul 2020
1