Student project: Analysing logfiles with Machine Learning

Suitable For

M.Sc. Conversion (Research Project)
M.Sc. Global
4th year final project

Number of People

Synopsis

Many internet servers maintain logfiles as flat files of time-stamped events. These files contain information that can in principle be used to optimise the design and structure of the website, and the response of the server. However, such information needs to be extracted by data mining methods.

The goal of this project is to apply and if necessary extend existing techniques of sequence discovery to discover useful high-level information in logfiles.

Objectives

To explore the use of data mining techniques for logfile analysis;
to refine existing techniques for mining time-dependent data.

Deliverables

An operational system that reads logfiles and applies data mining techniques to reveal useful information.

Skills Required

good programming skills
a general understanding of artificial intelligence and machine learning

Tools/Environments

Unix/C

Benefit to Student

To take part in some genuine and valuable artificial intelligence research
Develop rapid prototyping skills

Contact

Peter.Flach@cs.bris.ac.uk

Background

http://www.cs.bris.ac.uk/Research/MachineLearning/
http://www.cs.helsinki.fi/~mannila/data-mining-publications.html#sequences