New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
Customer churn prediction models aim to indicate the customers with the highest propensity
to attrite, allowing to improve the efficiency of customer retention campaigns and to reduce …
to attrite, allowing to improve the efficiency of customer retention campaigns and to reduce …
Social network analysis for customer churn prediction
This study examines the use of social network information for customer churn prediction. An
alternative modeling approach using relational learning algorithms is developed to …
alternative modeling approach using relational learning algorithms is developed to …
A novel profit maximizing metric for measuring classification performance of customer churn prediction models
T Verbraken, W Verbeke… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The interest for data mining techniques has increased tremendously during the past
decades, and numerous classification techniques have been applied in a wide range of …
decades, and numerous classification techniques have been applied in a wide range of …
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
Social network analytics methods are being used in the telecommunication industry to
predict customer churn with great success. In particular it has been shown that relational …
predict customer churn with great success. In particular it has been shown that relational …
[图书][B] Social network analysis in telecommunications
CAR Pinheiro - 2011 - books.google.com
A timely look at effective use of social network analysis within the telecommunications
industry to boost customer relationships The key to any successful company is the …
industry to boost customer relationships The key to any successful company is the …
Hotspots analysis using cyber-physical-social system for a smart city
Internet of things plays a vital role in providing various services to users. Significant volumes
of data are generated from the communication between a large numbers of heterogeneous …
of data are generated from the communication between a large numbers of heterogeneous …
Social network analysis and churn prediction in telecommunications using graph theory
SM Kostić, MI Simić, MV Kostić - Entropy, 2020 - mdpi.com
Due to telecommunications market saturation, it is very important for telco operators to
always have fresh insights into their customer's dynamics. In that regard, social network …
always have fresh insights into their customer's dynamics. In that regard, social network …
Social network analysis in Telecom data
NR Al-Molhem, Y Rahal, M Dakkak - Journal of Big Data, 2019 - Springer
Many systems can be represented as networks or graph collections of nodes joined by
edges. The social structures in these networks can be investigated using graph theory …
edges. The social structures in these networks can be investigated using graph theory …
Multichannel social signatures and persistent features of ego networks
The structure of egocentric networks reflects the way people balance their need for strong,
emotionally intense relationships and a diversity of weaker ties. Egocentric network structure …
emotionally intense relationships and a diversity of weaker ties. Egocentric network structure …
City Hotspot Identification Using Smart Cyber-Physical Social System
Recently, the concept of smart cities has become popular and got researchers' attention
because it helps to improve citizens' lives by providing valuable services, for instance, smart …
because it helps to improve citizens' lives by providing valuable services, for instance, smart …