Resources
Special issues on data mining and data science in insurance:
- Special Issue on Predictive Analytics, North American Actuarial Journal, Vol 24, Iss 2, 2020
- Special Issue on Data Mining in Actuarial Science: Theory and Applications, Risks, 2020-2021
- Special Issue on Machine Learning in Insurance, Risks, 2020
- Symposium on Insure-Tech, Digitalization, and Big-Data Techniques in Risk Management and Insurance, Journal of Risk and Insurance, 2020
- Call for Papers Special Issue on Foundations of Data Science, 2021
Research publications related to data mining in actuarial science and insurance:
- R. Richman, AI in actuarial science – a review of recent advances – part 1, Annals of Actuarial Science, First view, 2020
- R. Richman, AI in actuarial science – a review of recent advances – part 1, Annals of Actuarial Science, First view, 2020
- H. Hassani, S. Unger, and C. Beneki, Big Data and Actuarial Science, Big Data and Cognitive Computing, 4(4), 40, 2020
- J. Paefgen, et al., Evaluation and aggregation of pay-as-you-drive insurance factors: a classification analysis approach, Expert Systems with Applications, Vol 39, Iss 3, 2012
- L. Guelman, Gradient boosting trees for auto insurance loss cost modeling and prediction, Expert Systems with Applications, Vol 39, Iss 3, 2012
- Y. Kahane, et al., Applying data mining technology for insurance rate making: an example of automobile insurance, Asia-Pacific Journal of Risk and Insurance, Vol 2, Iss 1, 2007
- Apte, C., et al., Probabilistic Estimation-Based Data Mining for Discovering Insurance Risks, IEEE Intelligent Systems and their Applications, Vol 14, Iss 6, 1999
Below are links to news articles, working papers and publications related to data mining in actuarial science and insurance (this will be updated from time to time):
- AI in Insurance: TOP USE CASES, CHALLENGES, AND TRENDS, March 2020, data-iku
- Big Data and the Role of the Actuary, June 2018, American Academy of Actuaries, Big Data Task Force
- Top 10 Data Science Use Cases in Insurance, July 2018, ActiveWizards — AI & ML for startups
- BIG DATA: An actuarial perspective, November 2015, Mateusz Maj, Institute of Actuaries in Belgium
- Text Analytics in Insurance, Teradata, Teradata Corporation
- Can An Actuary Become A Data Scientist?, H. Sarmah, Analytics India Magazine
- Data Analytics Resources, Technology Section, Society of Actuaries
- Insurers Test Data Profiles to Identify Risky Clients, L. Scism and M. Maremont, Wall Street Journal, November 19, 2010
- Data mining approaches to modelling insurance risk, I. Kolyshkina and R. Brookes, Priceaterhouse Coopers, 22 October 2002
