Search Results for "ekho-data"

Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution. ...

...For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization

Main point is parsing documents with regular expression to the tree and edit them or replace some of the data, powered by your own python code. Python is very easy to understand, don`t be worried about this and try it! ;-)

Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.

pyLastFM graph is commandline tool for creating a nice looking graph time graph from Last.fm profile data. It uses the audioscrobbler.net XML interface and can create very high resolution output images.

A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.

This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.

This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.

A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.