A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Real World Applications of Machine Learning Techniques over Large Mobile Subscriber Datasets
[article]
2015
arXiv
pre-print
Communication Service Providers (CSPs) are in a unique position to utilize their vast transactional data assets generated from interactions of subscribers with network elements as well as with other subscribers. CSPs could leverage its data assets for a gamut of applications such as service personalization, predictive offer management, loyalty management, revenue forecasting, network capacity planning, product bundle optimization and churn management to gain significant competitive advantage.
arXiv:1502.02215v1
fatcat:zgjpne4cu5hn7pecrgvmq437bi