Predicting car insurance policies using random forest

AlShamsi, Asma

doi:10.1109/innovations.2014.6987575

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature Review1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2024

Publication Types

Select...

Other3

Article2

Book1

Relationship

Self Cite0

Independent6

Authors

Journals

Cited by 9 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A research which was intended to mine the big data of insurance in order to understand which insurance policy people would choose was conducted by Alshamsi [9]. She shows that Random Forest method can be used to find the answer of her study, but the proposed or available insurance policy options are not depicted at all [9].…”

Section: Literature Reviewmentioning

confidence: 99%

Car Insurance Plans Could Make a Society Safer

Zand¹,

Samimi²,

Khavarian³

2016

GEP

View full text Add to dashboard Cite

Insurance companies do not differentiate their customers based on their driving behavior in Iran that leads to reckless driving and thereby imposes significant costs to the society. We provided a model that can predict effects of different policies and discounts on market share of insurance companies. The usage of model has been tested in Tehran insurance market and the results provided showed that people would consider changing their insurance plans based on discounts and costs. Further, the first movers (i.e. the insurance companies that offer the discounts first) would absorb safer drivers and thereby stand in a superior financial position. This could significantly change the dynamics and the role of major players in the insurance market.

show abstract

Section: Literature Reviewmentioning

confidence: 99%