On Scalable Data Mining Techniques for Earth Science-Reference-Cited by-同舟云学术

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On Scalable Data Mining Techniques for Earth Science

Published:2015 Issue: Volume:51 Page:2188-2197
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Götz Markus,Richerzhagen Matthias,Bodenstein Christian,Cavallaro Gabriele,Glock Philipp,Riedel Morris,Benediktsson Jón Atli

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Baumann. The array database that is not a database: file based array query answering in rasdaman;Peter,2013

2. Introduction to remote sensing;Campbell,2002

3. Cavallaro. A comparison of self-dual attribute profiles based on different filter rules for classification;Gabriele,2014

4. Cavallaro. Smart data analytics methods for remote sensing applications;Gabriele,2014

5. Chen. Parallel dbscan with priority r-tree;Min,2010

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1. APLICACIÓN DE ALGORITMOS DE APRENDIZAJE AUTOMÁTICO EN GEOCIENCIA: REVISIÓN INTEGRAL Y DESAFÍO FUTURO;REVISTA AMBIENTAL AGUA, AIRE Y SUELO;2023-11-30

2. Scalable big earth observation data mining algorithms: a review;Earth Science Informatics;2023-08-11

3. The Impact of Big Data on Climate Change;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

4. Matrix Information Geometry for Signal Detection via Hybrid MPI/OpenMP;Entropy;2019-11-30

5. Big Data and Climate Change;Big Data and Cognitive Computing;2019-02-02

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