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

Corrales Delgado Carlo, Ramirez Valdez Oscar, Velasquez Lobaton Enzo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión 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 originalInglés
Título de la publicación alojadaAdvances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
EditoresKohei Arai
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas158-178
Número de páginas21
ISBN (versión impresa)9783030731021
DOI
EstadoPublicada - 2021
EventoFuture of Information and Communication Conference, FICC 2021 - Virtual, Online
Duración: 29 abr. 202130 abr. 2021

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1364 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaFuture of Information and Communication Conference, FICC 2021
CiudadVirtual, Online
Período29/04/2130/04/21

Nota bibliográfica

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

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