Hello, I need to make a project to find Anomaly Detection in Bank Transactions using Unsupervised Learning (Clustering). I do not know if you are familier about Anomaly Detection. Such as
- high transaction,
-more than 5 transaction,
-transaction from one country, at the same time transaction from some other country
-other useful features...
The columns could be : transaction_id | account id | transaction_date | transaction_type | transaction_amount |
recipient_id | recipient_country | client_ip_address | client_card_mask | recipient e-mail
client_card_country | balance | balance after trans |
[login to view URL]
Most of the people using above sample for Anomaly Detection. But I need more professional job. if you wanna do the job. Can you please explain me. What is your strategies. What Anomaly detection can you find?
11 фрилансеров(-а) готовы выполнить эту работу в среднем за $29
Hi, I am Ibrahim, and I am a data scientist, I can help you with anamoly detection, there are several methods to detect, as the data is not labelled, I would run clustering algos. Regards, Ibrahim Anjum
I have been working as a AI Developer for more than 3 years and have done one of the project similar to this where I had used Mahalanobis Distance to detect the anolmaly.