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Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
主动学习(Active Learning)框架,实现了多个主动学习策略,包括:熵(Entropy)、最大梯度改变(ECG)等。
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
Looking for factors indicating fraud using insurance claims data.
Healthcare fraud detection using PCA based anomaly detection on multivariate data.
A curated list of data mining papers about fraud detection.
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
4 different Big Datasets joined to get single table for final data analysis. Fraud Detection by taken consideration of different key features with applying different Machine Learning Algorithm to see which one performs better.
Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
Claims reserving models in R
Actuarial reserving in Python
Replication package, Farbmacher, Löw, Spindler, Journal of Econometrics, 2021
Fraud detection algorithm using Autoencoders and Stacked Autoencoders to detect fraudulent physicians in CMS Part B claims data
CMS Medicare Fraud Detection
The Healthcare Fraud Prevention Partnership (HFPP) through United States Centers for Medicare & Medicaid Services (CMS) in collaboration with NASA’s Center of Excellence for Collaboration (CoECI), Harvard, and TopCoder developed software that supports a data exchange network that enables healthcare insurance-paying entities in both the public and private sector to safely and securely share information for purposes of prevention and detection of fraud, waste and abuse across partners.
DeepTriangle: A Deep Learning Approach to Loss Reserving
Insurance fraud claims analysis project
GAAL-based Outlier Detection
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
A curated list of fraud detection papers using graph information or graph neural networks
《深入浅出图神经网络:GNN原理解析》配套代码
***选集
Multi-Population Mortality Modeling With Neural Networks
最全数据分析资料汇总(含python、爬虫、数据库、大数据、tableau、统计学等)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.