Anomaly detection in log files project.
This repository presents the work done on anomaly detection in log data. Some important files to get further information are:
Example.ipynb: This file contains the code that we implemented for log parsing, feature engineering, model selection and evaluation in Python.DATA586_Project_Report.pdf: This file presents the findings in an ACM research paper format.Milestone_Files: This folder contains video demonstration presenting our work.
Some intermediary work is present in working folder, while the Models and Parsing folders have third-party code used in our project.