Using K-means algorithm for description analysis of text in RSS news format

Paola Ariza-Colpas; Ana Isabel Oviedo-Carrascal; Emiro De-la-hoz-Franco

doi:10.1007/978-981-32-9563-6_17

Using K-means algorithm for description analysis of text in RSS news format

Paola Ariza-Colpas, Ana Isabel Oviedo-Carrascal, Emiro De-la-hoz-Franco

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

8 Citas (Scopus)

Resumen

This article shows the use of different techniques for the extraction of information through text mining. Through this implementation, the performance of each of the techniques in the dataset analysis process can be identified, which allows the reader to recommend the most appropriate technique for the processing of this type of data. This article shows the implementation of the K-means algorithm to determine the location of the news described in RSS format and the results of this type of grouping through a descriptive analysis of the resulting clusters.

Idioma original	Inglés
Título de la publicación alojada	Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings
Editores	Ying Tan, Yuhui Shi
Editorial	Springer Verlag
Páginas	162-169
Número de páginas	8
ISBN (versión impresa)	9789813295629
DOI	https://doi.org/10.1007/978-981-32-9563-6_17
Estado	Publicada - 2019
Evento	4th International Conference on Data Mining and Big Data, DMBD 2019 - Chiang Mai, Tailandia Duración: 26 jul. 2019 → 30 jul. 2019

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1071
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	4th International Conference on Data Mining and Big Data, DMBD 2019
País/Territorio	Tailandia
Ciudad	Chiang Mai
Período	26/07/19 → 30/07/19

Nota bibliográfica

Publisher Copyright:
© 2019, Springer Nature Singapore Pte Ltd.

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10.1007/978-981-32-9563-6_17

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Ariza-Colpas, P., Oviedo-Carrascal, A. I., & De-la-hoz-Franco, E. (2019). Using K-means algorithm for description analysis of text in RSS news format. En Y. Tan, & Y. Shi (Eds.), Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings (pp. 162-169). (Communications in Computer and Information Science; Vol. 1071). Springer Verlag. https://doi.org/10.1007/978-981-32-9563-6_17

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abstract = "This article shows the use of different techniques for the extraction of information through text mining. Through this implementation, the performance of each of the techniques in the dataset analysis process can be identified, which allows the reader to recommend the most appropriate technique for the processing of this type of data. This article shows the implementation of the K-means algorithm to determine the location of the news described in RSS format and the results of this type of grouping through a descriptive analysis of the resulting clusters.",

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Ariza-Colpas, P, Oviedo-Carrascal, AI & De-la-hoz-Franco, E 2019, Using K-means algorithm for description analysis of text in RSS news format. En Y Tan & Y Shi (eds.), Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings. Communications in Computer and Information Science, vol. 1071, Springer Verlag, pp. 162-169, 4th International Conference on Data Mining and Big Data, DMBD 2019, Chiang Mai, Tailandia, 26/07/19. https://doi.org/10.1007/978-981-32-9563-6_17

Using K-means algorithm for description analysis of text in RSS news format. / Ariza-Colpas, Paola; Oviedo-Carrascal, Ana Isabel; De-la-hoz-Franco, Emiro.
Data Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings. ed. / Ying Tan; Yuhui Shi. Springer Verlag, 2019. p. 162-169 (Communications in Computer and Information Science; Vol. 1071).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

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Using K-means algorithm for description analysis of text in RSS news format

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