Metaheuristic based Customer Churn Prediction in Telecom

Abstract

Churn prediction in telecom has turn into a most important requirement due to the increase in the number of telecom supplier. However owing to the immensity sparsity and unnecessary nature of the data, churn prediction in telecom has always been a difficult task. This paper present a metaheuristic base churn prediction technique that performs churn prediction on massive telecom data. Particle Swarm Optimization algorithm is used as the classifier. Experiments were conducted on the Orange dataset. It was experimental that PSO algorithm mechanism best on churn data providing in effect and more rapidly domino effect.

Authors and Affiliations

T. Sumathi

Keywords

Related Articles

Performance of Strip Footing on Slope Stabilized with Inclined Piles and Sheet Piles

This paper is the study of effect of inclusion of inclined piles and sheet piles along the slope on performance of strip footing placed near slope crest. The parameters such as number of rows of inclined piles/sheet pil...

Non-GPS Navigation using the method Okamura-Hata and Wolfish-Ikegami

Mobile communications must be enhanced by establishing a non-GPS technology that can detect the positions of mobile stations precisely. In this paper, we propose methods of used Okamura-Hata and Wolfish-Ikegami. The pur...

AVR Microcontroller Based Wireless Robot For Uneven Surface

In the present scenario the application of robots are quite common to reduce human efforts in several areas. If we want to save our manpower loss there is need in today’s world to place equipment in dangerous areas such...

Bandwidth Enhancement of UWB Microstrip Antenna with a Modified Ground Plane

Bandwidth enhancing technique using a modified ground plane with diagonal edges, rectangular slot, and T-shape cut for the design of compact antennas.Ultra-wideband (UWB) technology has been regarded as one of the wirel...

Simulation Development of Linux Firewall.

Open-source systems are not going to replace offerings from commercial vendors. They do, however, offer an increasingly viable alternative. Open-source solutions should be evaluated side-by-side with commercial as part...

Download PDF file
  • EP ID EP22540
  • DOI -
  • Views 223
  • Downloads 5

How To Cite

T. Sumathi (2016). Metaheuristic based Customer Churn Prediction in Telecom. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(8), -. https://europub.co.uk/articles/-A-22540