Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market
The following article presents the analysis through mathematical and physical techniques of large databases, which are very common today, due to the large number of variables (especially in the information and physics industry) and the amount of information that results from a process, therefore an...
- Autores:
-
Montoya, Oscar Danilo
Narváez, D D
Ramírez Vanegas, C A
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10436
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10436
- Palabra clave:
- Mathematical techniques
Physical of modeling
Simulation of pattern recognition
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
| id |
UTB2_fd983d333d1cf335b248e4a348b203b0 |
|---|---|
| oai_identifier_str |
oai:repositorio.utb.edu.co:20.500.12585/10436 |
| network_acronym_str |
UTB2 |
| network_name_str |
Repositorio Institucional UTB |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| title |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| spellingShingle |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market Mathematical techniques Physical of modeling Simulation of pattern recognition LEMB |
| title_short |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| title_full |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| title_fullStr |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| title_full_unstemmed |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| title_sort |
Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market |
| dc.creator.fl_str_mv |
Montoya, Oscar Danilo Narváez, D D Ramírez Vanegas, C A |
| dc.contributor.author.none.fl_str_mv |
Montoya, Oscar Danilo Narváez, D D Ramírez Vanegas, C A |
| dc.subject.keywords.spa.fl_str_mv |
Mathematical techniques Physical of modeling Simulation of pattern recognition |
| topic |
Mathematical techniques Physical of modeling Simulation of pattern recognition LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The following article presents the analysis through mathematical and physical techniques of large databases, which are very common today, due to the large number of variables (especially in the information and physics industry) and the amount of information that results from a process, therefore an analysis is necessary that allows the Decision in a responsible manner, looking for scientific criteria that support said decisions, in our case a database of the forex system will be taken. Initially, a study and calculation of different measurements between the samples and their characteristics will be carried out to make a good prediction of the data and their behavior using different classification methods inspired by basic sciences. Below is an explanation of the techniques based on the analysis of data components and the correlations that exist between the variables, which is a technique widely used in physical processes to determine the correlations between variables. |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021-06-10 |
| dc.date.accessioned.none.fl_str_mv |
2022-02-03T15:06:17Z |
| dc.date.available.none.fl_str_mv |
2022-02-03T15:06:17Z |
| dc.date.submitted.none.fl_str_mv |
2022-02-02 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.hasVersion.spa.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
| dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.identifier.citation.spa.fl_str_mv |
Montoya Giraldo, Oscar & Narváez, D & Vanegas, C. (2021). Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market. Journal of Physics: Conference Series. 2073. 012009. 10.1088/1742-6596/2073/1/012009 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10436 |
| dc.identifier.doi.none.fl_str_mv |
10.1088/1742-6596/2073/1/012009 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Montoya Giraldo, Oscar & Narváez, D & Vanegas, C. (2021). Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market. Journal of Physics: Conference Series. 2073. 012009. 10.1088/1742-6596/2073/1/012009 10.1088/1742-6596/2073/1/012009 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/10436 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessRights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.cc.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.none.fl_str_mv |
8 Páginas |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
| dc.source.spa.fl_str_mv |
Journal of Physics: Conference Series, vol. 2073, (2021). |
| institution |
Universidad Tecnológica de Bolívar |
| bitstream.url.fl_str_mv |
https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/1/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/2/license_rdf https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/3/license.txt https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/4/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf.txt https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/5/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf.jpg |
| bitstream.checksum.fl_str_mv |
33da225892d7ed70661027003f89ecc1 4460e5956bc1d1639be9ae6146a50347 e20ad307a1c5f3f25af9304a7a7c86b6 afdcc1abd6091f8b5e8cac5921026d60 6388c5516e7b73e3682e2178f37df7b9 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional UTB |
| repository.mail.fl_str_mv |
repositorioutb@utb.edu.co |
| _version_ |
1814021573847285760 |
| spelling |
Montoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Narváez, D D8365aeee-94c2-4af6-bbe0-6e95f974540dRamírez Vanegas, C Aef47b997-ab0d-4753-9356-880125af5e732022-02-03T15:06:17Z2022-02-03T15:06:17Z2021-06-102022-02-02Montoya Giraldo, Oscar & Narváez, D & Vanegas, C. (2021). Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock market. Journal of Physics: Conference Series. 2073. 012009. 10.1088/1742-6596/2073/1/012009https://hdl.handle.net/20.500.12585/1043610.1088/1742-6596/2073/1/012009Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe following article presents the analysis through mathematical and physical techniques of large databases, which are very common today, due to the large number of variables (especially in the information and physics industry) and the amount of information that results from a process, therefore an analysis is necessary that allows the Decision in a responsible manner, looking for scientific criteria that support said decisions, in our case a database of the forex system will be taken. Initially, a study and calculation of different measurements between the samples and their characteristics will be carried out to make a good prediction of the data and their behavior using different classification methods inspired by basic sciences. Below is an explanation of the techniques based on the analysis of data components and the correlations that exist between the variables, which is a technique widely used in physical processes to determine the correlations between variables.8 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Journal of Physics: Conference Series, vol. 2073, (2021).Mathematical and physical techniques of modeling and simulation of pattern recognition in the stock marketinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Mathematical techniquesPhysical of modelingSimulation of pattern recognitionLEMBCartagena de IndiasGarcía P, Sancho J L, Figueiras A 2010 Clasificación de patrones con datos faltantes: una revision Neural Comput. Appl. 19(2) 263Bishop C M 1995 Neural Networks for Pattern Recognition (New York: Oxford University Press)Deng X, Liu Q, Deng Y, Mahadevan S 2016 An improved method to construct basic probability assignment based on the confusion matrix for classification problem Inf. Sci. 340 250Rajendran S, Kaul A, Nath R, Arora A, Chauhan S 2014 Comparison of PCA and 2D-PCA on Indian faces International Conference on Signal Propagation and Computer Technology Technical (Ajmer: Institute of Electrical and Electronics Engineers) p 561Gao Q, Sun S 2018 Speech recognition of confusable word based on ideal distance matrix IEEE/ACIS 17th International Conference on Computer and Information Science (Singapore: Institute of Electrical and Electronics Engineers) p 335Xiang S, Nie F, Zhang C 2008 Learning a mahalanobis distance metric for data clustering and classification Pattern Recognition 41(12) 3600Jing C, Hou J 2015 Enfoques de clasificación de fallas basados en SVM y PCA para procesos industriales complicados Neurocomputing 167 636Rouabhia C, Hamdaoui K, Tebbikh H 2010 Weighted matrix distance metric for face images classification International Conference on Machine and Web Intelligence (Algeria: Institute of Electrical and Electronics Engineers)Koyuturk M, Grama A, Ramakrishnan N 2005 Compression, clustering, and pattern discovery in very highdimensional discrete-attribute data sets IEEE Transactions on Knowledge and Data Engineering 17(4) 447Arya S, Mount D, Netanyahu N, Silverman R, Wu A 1998 An optimal algorithm for approximate nearest neighbor searching fixed dimensions Journal of the ACM 45(6) 891Abello J, Korn A 2002 A system for visualizing massive multidigraph IEEE Trans. Visual Comput. Graphics 8(1) 21Beringer J, Hüllermeier E 2006 Online clustering of parallel data streams Data Knowl. Eng. 58(2) 180http://purl.org/coar/resource_type/c_2df8fbb1ORIGINAL[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdf[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdfapplication/pdf1490973https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/1/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf33da225892d7ed70661027003f89ecc1MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53TEXT[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdf.txt[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdf.txtExtracted texttext/plain16757https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/4/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf.txtafdcc1abd6091f8b5e8cac5921026d60MD54THUMBNAIL[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdf.jpg[Art. 45] Mathematical and physical technique_Oscar Danilo Montoya.pdf.jpgGenerated Thumbnailimage/jpeg35781https://repositorio.utb.edu.co/bitstream/20.500.12585/10436/5/%5bArt.%2045%5d%20Mathematical%20and%20physical%20technique_Oscar%20Danilo%20Montoya.pdf.jpg6388c5516e7b73e3682e2178f37df7b9MD5520.500.12585/10436oai:repositorio.utb.edu.co:20.500.12585/104362022-02-04 02:30:41.405Repositorio Institucional UTBrepositorioutb@utb.edu.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 |