Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart

Corrales Delgado Carlo; Ramirez Valdez Oscar; Velasquez Lobaton Enzo

doi:10.1007/978-3-030-73103-8_10

Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart

Corrales Delgado Carlo, Ramirez Valdez Oscar, Velasquez Lobaton Enzo

Departamento Académico de Ingeniería de Sistemas e Informática

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

In this study, we propose to employ KMeans, MultiStream and GeoChart to meet the complexity of information treatment in growing companies, and to visualize large amounts of data, in order to support timely decision-making with a Visual Analysis. KMeans allows information to be segregated by relating the gains to the distance between the nodes, MultiStream allows selecting a time segment and identifying patterns based on hierarchies of the selected segment and GeoChart allows a generic geographic visualization by adding the selected data in a data structure to visualize them on a map. Employing all three programs, KMeans, MultiStream and GeoChart, we analyze information from data banks of a transit company and illustrate how to arrive at a reliable cost/benefit analysis via a nine-step data analyzation procedure.

Idioma original	Inglés
Título de la publicación alojada	Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
Editores	Kohei Arai
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	158-178
Número de páginas	21
ISBN (versión impresa)	9783030731021
DOI	https://doi.org/10.1007/978-3-030-73103-8_10
Estado	Publicada - 2021
Evento	Future of Information and Communication Conference, FICC 2021 - Virtual, Online Duración: 29 abr. 2021 → 30 abr. 2021

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1364 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	Future of Information and Communication Conference, FICC 2021
Ciudad	Virtual, Online
Período	29/04/21 → 30/04/21

Nota bibliográfica

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-030-73103-8_10

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Carlo, C. D., Oscar, R. V., & Enzo, V. L. (2021). Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart. En K. Arai (Ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC (pp. 158-178). (Advances in Intelligent Systems and Computing; Vol. 1364 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-73103-8_10

Carlo, Corrales Delgado ; Oscar, Ramirez Valdez ; Enzo, Velasquez Lobaton. / Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart. Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2021. pp. 158-178 (Advances in Intelligent Systems and Computing).

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title = "Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart",

abstract = "In this study, we propose to employ KMeans, MultiStream and GeoChart to meet the complexity of information treatment in growing companies, and to visualize large amounts of data, in order to support timely decision-making with a Visual Analysis. KMeans allows information to be segregated by relating the gains to the distance between the nodes, MultiStream allows selecting a time segment and identifying patterns based on hierarchies of the selected segment and GeoChart allows a generic geographic visualization by adding the selected data in a data structure to visualize them on a map. Employing all three programs, KMeans, MultiStream and GeoChart, we analyze information from data banks of a transit company and illustrate how to arrive at a reliable cost/benefit analysis via a nine-step data analyzation procedure.",

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Carlo, CD, Oscar, RV & Enzo, VL 2021, Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart. En K Arai (ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Advances in Intelligent Systems and Computing, vol. 1364 AISC, Springer Science and Business Media Deutschland GmbH, pp. 158-178, Future of Information and Communication Conference, FICC 2021, Virtual, Online, 29/04/21. https://doi.org/10.1007/978-3-030-73103-8_10

Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart. / Carlo, Corrales Delgado; Oscar, Ramirez Valdez; Enzo, Velasquez Lobaton.

Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2021. p. 158-178 (Advances in Intelligent Systems and Computing; Vol. 1364 AISC).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart

AU - Carlo, Corrales Delgado

AU - Oscar, Ramirez Valdez

AU - Enzo, Velasquez Lobaton

PY - 2021

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N2 - In this study, we propose to employ KMeans, MultiStream and GeoChart to meet the complexity of information treatment in growing companies, and to visualize large amounts of data, in order to support timely decision-making with a Visual Analysis. KMeans allows information to be segregated by relating the gains to the distance between the nodes, MultiStream allows selecting a time segment and identifying patterns based on hierarchies of the selected segment and GeoChart allows a generic geographic visualization by adding the selected data in a data structure to visualize them on a map. Employing all three programs, KMeans, MultiStream and GeoChart, we analyze information from data banks of a transit company and illustrate how to arrive at a reliable cost/benefit analysis via a nine-step data analyzation procedure.

AB - In this study, we propose to employ KMeans, MultiStream and GeoChart to meet the complexity of information treatment in growing companies, and to visualize large amounts of data, in order to support timely decision-making with a Visual Analysis. KMeans allows information to be segregated by relating the gains to the distance between the nodes, MultiStream allows selecting a time segment and identifying patterns based on hierarchies of the selected segment and GeoChart allows a generic geographic visualization by adding the selected data in a data structure to visualize them on a map. Employing all three programs, KMeans, MultiStream and GeoChart, we analyze information from data banks of a transit company and illustrate how to arrive at a reliable cost/benefit analysis via a nine-step data analyzation procedure.

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KW - MultiStream

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Carlo CD, Oscar RV, Enzo VL. Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart. En Arai K, editor, Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Springer Science and Business Media Deutschland GmbH. 2021. p. 158-178. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-73103-8_10

Visual Analysis of Sales Temporal Evolution Using KMeans, MultiStream and GeoChart

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