A Windowing strategy for Distributed Data Mining optimized through GPUs-Reference-Cited by-同舟云学术

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A Windowing strategy for Distributed Data Mining optimized through GPUs

Published:2017-07 Issue: Volume:93 Page:23-30
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Limón Xavier,Guerra-Hernández Alejandro,Cruz-Ramírez Nicandro,Acosta-Mesa Héctor-Gabriel,Grimaldo Francisco^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

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2. Agent-enriched data mining using an extendable framework;Albashiri,2009

3. Papyrus: a system for data mining over local and wide area clusters and super-clusters;Bailey,1999

4. Moa: massive online analysis;Bifet;J. Mach. Learn. Res.,2010

5. Programming Multi-Agent Systems in Agent-Speak Using Jason;Bordini,2007

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1. Research on wireless distributed financial risk data stream mining based on dual privacy protection;EURASIP Journal on Wireless Communications and Networking;2020-11-27

2. Windowing as a Sub-Sampling Method for Distributed Data Mining;Mathematical and Computational Applications;2020-06-30

3. Comparison of analytical and ML-based models for predicting CPU–GPU data transfer time;Computing;2020-01-08

4. A sanitization approach for privacy preserving data mining on social distributed environment;Journal of Ambient Intelligence and Humanized Computing;2019-06-26

5. Implementing Gene Expression Programming in the Parallel Environment for Big Datasets’ Classification;Vietnam Journal of Computer Science;2019-05

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