Big data spectra analysis using analytical programming and random decision forests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092546" target="_blank" >RIV/61989100:27240/14:86092546 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092546
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-662-45237-0_26" target="_blank" >http://dx.doi.org/10.1007/978-3-662-45237-0_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-662-45237-0_26" target="_blank" >10.1007/978-3-662-45237-0_26</a>
Alternative languages
Result language
angličtina
Original language name
Big data spectra analysis using analytical programming and random decision forests
Original language description
Spectra analysis on large datasets is in focus of this paper. First of all we discuss a method useful for spectra analysis - analytical programming and its implementation. Our goal is to create mathematical formulas of emission lines from spectra, whichare characteristic for Be stars. One issue in performing this task is symbolic regression, which represents the process in our application, when measured data fits the best represented mathematical formula. In past this was only a human domain; nowadays,there are computer methods, which allow us to do it more or less effectively. A novel method in symbolic regression, compared to genetic programming and grammar evolution, is analytic programming. The aim of this work is to verify the efficiency of theparallel approach of this algorithm, using CUDA architecture. Next we will discuss parallel implementation of random decision forest (RDF) to classify huge amounts of various spectra. The mathematical formulas obtained via AP will be used
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science. Volume 8838
ISBN
978-3-662-45236-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
266-277
Publisher name
Springer
Place of publication
Heidelberg
Event location
Ho Chi Minh City
Event date
Nov 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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