Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ University of Mysore...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
SSRN Electronic Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
SAARJ Journal on Banking & Insurance Research
Article . 2018 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

Perception of Particle Swarm Optimization (PSO) Algorithm in Insurance Strategies

Authors: Hossein, Niavand; Mahesh, R.;

Perception of Particle Swarm Optimization (PSO) Algorithm in Insurance Strategies

Abstract

In the worldwide time, insurance rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand for insurance increased. Data mining helps insurance firms to discover useful patterns from the customer database direction of determining best strategies. Particle swarm optimization (PSO) is one of the tools in Data mining, PSO is a powerful new technology with great potential to help insurance firms focus on the most important information in the data they have collected about the behaviour of their customers and potential customers. The purpose of the paper aims to present how Particle Swarm Optimization (PSO) algorithm is used in the insurance strategies, how its techniques produce good results in the insurance sector and how data mining enhances in decision making using insurance data.

Country
India
Keywords

330, 650, Business Administration

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green