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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages158-178
Number of pages21
ISBN (Print)9783030731021
DOIs
StatePublished - 2021
EventFuture of Information and Communication Conference, FICC 2021 - Virtual, Online
Duration: 29 Apr 202130 Apr 2021

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1364 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceFuture of Information and Communication Conference, FICC 2021
CityVirtual, Online
Period29/04/2130/04/21

Bibliographical note

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

Keywords

  • GeoChart
  • KMeans
  • MultiStream
  • Visual analysis

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