NACOD: A Naïve Associative Classifier for Online Data
Analyzing data in real time constitutes a challenge nowadays, due to the constant generation of data from different sources. To deal to such streams of data, in this paper we propose a novel decision-making algorithm within the associative approach. The proposed algorithm, named Naïve As...
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Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8805380/ |
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author | Yenny Villuendas-Rey Javier A. Hernandez-Castano Oscar Camacho-Nieto Cornelio Yanez-Marquez Itzama Lopez-Yanez |
author_facet | Yenny Villuendas-Rey Javier A. Hernandez-Castano Oscar Camacho-Nieto Cornelio Yanez-Marquez Itzama Lopez-Yanez |
author_sort | Yenny Villuendas-Rey |
collection | DOAJ |
description | Analyzing data in real time constitutes a challenge nowadays, due to the constant generation of data from different sources. To deal to such streams of data, in this paper we propose a novel decision-making algorithm within the associative approach. The proposed algorithm, named Naïve Associative Classifier for Online Data (NACOD), is able to deal with hybrid as well as with incomplete data. In addition, NACOD is transparent and transportable, which makes it a very useful decision-maker in environments that require such properties. The numerical experiments carried out show the effectiveness of NACOD. |
first_indexed | 2024-12-17T05:58:05Z |
format | Article |
id | doaj.art-f5e9f0f087cf4ee6a5dfb471b6728e0b |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-17T05:58:05Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-f5e9f0f087cf4ee6a5dfb471b6728e0b2022-12-21T22:00:57ZengIEEEIEEE Access2169-35362019-01-01711776111776710.1109/ACCESS.2019.29363668805380NACOD: A Naïve Associative Classifier for Online DataYenny Villuendas-Rey0https://orcid.org/0000-0001-9889-3924Javier A. Hernandez-Castano1Oscar Camacho-Nieto2Cornelio Yanez-Marquez3Itzama Lopez-Yanez4Centro de Innovación y Desarrollo Tecnológico en Cómputo del Instituto Politécnico Nacional, Mexico City, MexicoCentro de Innovación y Desarrollo Tecnológico en Cómputo del Instituto Politécnico Nacional, Mexico City, MexicoCentro de Innovación y Desarrollo Tecnológico en Cómputo del Instituto Politécnico Nacional, Mexico City, MexicoCentro de Investigación en Computación del Instituto Politécnico Nacional, Mexico City, MexicoCentro de Innovación y Desarrollo Tecnológico en Cómputo del Instituto Politécnico Nacional, Mexico City, MexicoAnalyzing data in real time constitutes a challenge nowadays, due to the constant generation of data from different sources. To deal to such streams of data, in this paper we propose a novel decision-making algorithm within the associative approach. The proposed algorithm, named Naïve Associative Classifier for Online Data (NACOD), is able to deal with hybrid as well as with incomplete data. In addition, NACOD is transparent and transportable, which makes it a very useful decision-maker in environments that require such properties. The numerical experiments carried out show the effectiveness of NACOD.https://ieeexplore.ieee.org/document/8805380/Decision-makingonline learninghybrid and incomplete datanaïve associative classifier |
spellingShingle | Yenny Villuendas-Rey Javier A. Hernandez-Castano Oscar Camacho-Nieto Cornelio Yanez-Marquez Itzama Lopez-Yanez NACOD: A Naïve Associative Classifier for Online Data IEEE Access Decision-making online learning hybrid and incomplete data naïve associative classifier |
title | NACOD: A Naïve Associative Classifier for Online Data |
title_full | NACOD: A Naïve Associative Classifier for Online Data |
title_fullStr | NACOD: A Naïve Associative Classifier for Online Data |
title_full_unstemmed | NACOD: A Naïve Associative Classifier for Online Data |
title_short | NACOD: A Naïve Associative Classifier for Online Data |
title_sort | nacod a na x00ef ve associative classifier for online data |
topic | Decision-making online learning hybrid and incomplete data naïve associative classifier |
url | https://ieeexplore.ieee.org/document/8805380/ |
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