Nova Publishers
My Account Nova Publishers Shopping Cart
HomeBooksSeriesJournalsReference CollectionseBooksInformationSalesImprintsFor Authors
            
  Top » Catalog » Books » Mathematics and Statistics » Statistical and Soft Computing Approaches in Insurance Problems Chapters » My Account  |  Cart Contents  |  Checkout   
Quick Find
  
Use keywords to find the product you are looking for.
Advanced Search
What's New? more
Advances in Applied Spectroscopy: Concepts and Techniques
$144.00
Shopping Cart more
0 items
Information
Shipping & Returns
Privacy Notice
Conditions of Use
Contact Us
Notifications more
NotificationsNotify me of updates to A Review of Computational Intelligence Algorithms in Insurance Applications (pp. 1-50)
Tell A Friend
 
Tell someone you know about this product.
A Review of Computational Intelligence Algorithms in Insurance Applications (pp. 1-50) $100.00
Authors:  (S. Salcedo-Sanz, L. Cuadra, A. Portilla-Figueras, S. Jimenez-Fernandez and E. Alexandre, Department of Signal Theory and Communications, Universidad de Alcala, Madrid, Spain)
Abstract:
Insurance sector, one of the cornerstones the financial system is based
on, is currently facing major changes because of the urgent necessity of
being adapted to the new context of global economic crisis. Within this
frame, the financial system of any modern country needs to develop novel
procedures aiming to make it more competitive and efficient, along with
the compliance with commitment agreed with the policyholders. Part of
this important responsibility relies on the inclusion of more effective and
accurate computing techniques able to provide better solutions for crucial
problems in different key components of the system, including, of course,
the insurance sector. In this respect, this chapter presents a review of
those Soft-Computing applied in the field of insurance companies and related
problems, which have been very active and successful over the past
10 years. The aims of this chapter are thus: 1) to illustrate in a comprehensive
way those features of Soft-Computing algorithms that make them
suitable to tackle insurance problems; 2) to provide a good and up-dated
review of their main applications in insurance-related problems; and 3) to
show to what extent Soft-Computing algorithms work accurately in a real
application. Just in this regard, this chapter ends up with details about the
application of several of these techniques in predicting vehicle accidents
using drivers and vehicles’ data, which is useful for vehicle insurance
companies. 


Available Options:
Version:
This Item Is Currently Unavailable.
Special Focus Titles
01.Medical Cannabis: Clinical Practice
02.Hemorrhagic Shock: Recognition, Pathophysiology and Management
03.Patellofemoral Pain: An Evidence-Based Clinical Guide
04.Neanderthals in Plato’s Cave: A Relativistic Approach to Cultural Evolution
05.My Patients Were Mummies
06.‘L’Atelier Moderne’: An Exploration of the Collaborative Process Between Performer and Composer in Vocal Music Theatre of the 21st Century (CD Included)
07.The Voice at the End of the Telephone Line: The Psychology of Tele Carers
08.Caught up in the Spirit! Teaching for Womanist Liberation
09.The Transgender Handbook: A Guide for Transgender People, Their Families and Professionals
10.Mastering Science with Metacognitive and Self-Regulatory Strategies: A Teacher-Researcher Dialogue of Practical Applications for Adolescent Students
11.Political Migrations in Poland in the Period of World War II
12.Sociolinguistic Parallels Across Europe: Focus on Lowland Scotland and the Eastern Slavic Countries

Nova Science Publishers
© Copyright 2004 - 2017

A Review of Computational Intelligence Algorithms in Insurance Applications (pp. 1-50)