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
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
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.
KW - GeoChart
KW - KMeans
KW - MultiStream
KW - Visual analysis
UR - http://www.scopus.com/inward/record.url?scp=85105913501&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-73103-8_10
DO - 10.1007/978-3-030-73103-8_10
M3 - Conference contribution
AN - SCOPUS:85105913501
SN - 9783030731021
T3 - Advances in Intelligent Systems and Computing
SP - 158
EP - 178
BT - Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Future of Information and Communication Conference, FICC 2021
Y2 - 29 April 2021 through 30 April 2021
ER -