Using Feature Selection with Machine Learning for Generation of Insurance Insights
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Feature Selection with Machine Learning for Generation of Insurance Insights
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 12, Issue 6, Pages 3209
Publisher
MDPI AG
Online
2022-03-22
DOI
10.3390/app12063209
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Adaptive Laplacian Support Vector Machine for Semi-supervised Learning
- (2021) Rongyao Hu et al. COMPUTER JOURNAL
- Ensemble of feature selection algorithms: a multi-criteria decision-making approach
- (2021) Amin Hashemi et al. International Journal of Machine Learning and Cybernetics
- Insurance fraud detection with unsupervised deep learning
- (2021) Chamal Gomes et al. JOURNAL OF RISK AND INSURANCE
- A pareto-based ensemble of feature selection algorithms
- (2021) Amin Hashemi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Handling missing values in trait data
- (2020) Thomas F. Johnson et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- A review of unsupervised feature selection methods
- (2019) Saúl Solorio-Fernández et al. ARTIFICIAL INTELLIGENCE REVIEW
- MLACO: A multi-label feature selection algorithm based on ant colony optimization
- (2019) Mohsen Paniri et al. KNOWLEDGE-BASED SYSTEMS
- Robust SVM with adaptive graph learning
- (2019) Rongyao Hu et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Leveraging deep learning with LDA-based text analytics to detect automobile insurance fraud
- (2018) Yibo Wang et al. DECISION SUPPORT SYSTEMS
- Robust unsupervised feature selection via dual self-representation and manifold regularization
- (2018) Chang Tang et al. KNOWLEDGE-BASED SYSTEMS
- Machine learning in individual claims reserving
- (2018) Mario V. Wüthrich Scandinavian Actuarial Journal
- EDITORIAL: YES, WE CANN!
- (2018) Mario V. Wüthrich et al. Astin Bulletin
- A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach
- (2017) Saúl Solorio-Fernández et al. PATTERN RECOGNITION
- Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
- (2016) Jun Chin Ang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Pair-wise association measures for categorical and mixed data
- (2016) Ayman Taha et al. INFORMATION SCIENCES
- Stochastic loss reserving with dependence: A flexible multivariate Tweedie approach
- (2016) Benjamin Avanzi et al. INSURANCE MATHEMATICS & ECONOMICS
- Tree-based censored regression with applications in insurance
- (2016) Olivier Lopez et al. Electronic Journal of Statistics
- Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape
- (2014) Nadja Klein et al. INSURANCE MATHEMATICS & ECONOMICS
- A NON-PARAMETRIC METHOD FOR INCURRED BUT NOT REPORTED CLAIM RESERVE ESTIMATION
- (2012) Helio Lopes et al. International Journal for Uncertainty Quantification
- Modelling and predicting customer churn from an insurance company
- (2011) Clara-Cecilie Günther et al. Scandinavian Actuarial Journal
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now