Fraud detection using Neo4j and predict fraudulent transactions using Neo4j
$10-30 USD
Paid on delivery
I am looking for an experienced Freelancer to create a fraud detection system for me using Neo4j. This system will be used to detect fraudulent transactions and provide accurate predictions for risk management.
WORK: Select a credit card dataset and detect fraud rings using cypher query language. Then with the same dataset, choose 3 or 4 graph algorithms and compare the accuracy of these graph algorithms in Neo4j. Algorithm which is giving more accuracy, predict fraudulent transactions with this algorithm.
Milestones:
1) Detecting fraud rings using Cypher query language
2) choose 3 or 4 graph algorithms and compare the accuracies in Neo4j. Predict fraudulent transactions using graph algorithm giving highest accuracies
NOTE: Prediction should be done in Neo4j itself and for both milestones dataset should be same.
Thank you!
Project ID: #37196621
About the project
6 freelancers are bidding on average $185 for this job
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav More
Hi there! My name is Lalit and I am an experienced Python with 7 years of experience in the field. I specialize in machine learning, deep learning, databases and other related technologies. I understand you are looki More
Hello, my name is Ehtisham and I am an Electrical Engineer and Data Scientist with skills in Python, Wordpress, Electrical Engineering, MATLAB and other data analysis tools. I understand that you are looking for an ex More
I can assist you with this task. I am also new to freelancer but I have been freelancing for 2 years on different platforms. So, I would love to provide you with a discounted price for my services as well.
Project Overview: This project will consist of two key milestones, each with specific objectives: Milestone 1: Data Import and Fraud Ring Detection 1. Data Preparation: Obtain and import a suitable credit card transac More
