TY - GEN
T1 - Geo and graph analytics for dynamic cellular transactions insights, improving quality and business decisions
T2 - 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018
AU - Jean Nestor, Dahj Muwawa
AU - Ogudo, Kingsley A.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Everyday, millions of users on their phone generate huge amount of traffic; intelligent industrial machines and IoT devices also generate monumental traffic, both affecting Network performance due to the shared medium used. With the large amount of human and machine generated data, Communications Service Providers (CSPs) face the challenge of finding values and addressing Quality of Service (QoS) and Quality of Experience (QoE) in a dynamic way. The advance of Data and Predictive Analytics methods makes it not easier but possible to dive deep into Network transactions to build intelligent insights, helping with business decisions. In this paper, we use Geo-Analytics and Intelligent Localization algorithms, combined with Graph Processing to provide a dynamic insight of Network data, to sustain business decisions and improve users and devices' QoE.
AB - Everyday, millions of users on their phone generate huge amount of traffic; intelligent industrial machines and IoT devices also generate monumental traffic, both affecting Network performance due to the shared medium used. With the large amount of human and machine generated data, Communications Service Providers (CSPs) face the challenge of finding values and addressing Quality of Service (QoS) and Quality of Experience (QoE) in a dynamic way. The advance of Data and Predictive Analytics methods makes it not easier but possible to dive deep into Network transactions to build intelligent insights, helping with business decisions. In this paper, we use Geo-Analytics and Intelligent Localization algorithms, combined with Graph Processing to provide a dynamic insight of Network data, to sustain business decisions and improve users and devices' QoE.
KW - Business Decisions
KW - Cellular Transactions Insight
KW - Geo-Analytics
KW - Graph Analytics
KW - Internet of Things (IoT)
KW - Quality of Experience (QoE)
UR - http://www.scopus.com/inward/record.url?scp=85061815179&partnerID=8YFLogxK
U2 - 10.1109/ICONIC.2018.8601296
DO - 10.1109/ICONIC.2018.8601296
M3 - Conference contribution
AN - SCOPUS:85061815179
T3 - 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018
BT - 2018 International Conference on Intelligent and Innovative Computing Applications, ICONIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 December 2018 through 7 December 2018
ER -