Books about theoretical basis in log management

Question

I'm looking for a books about theoretical basis in log management, not about tools. I need it to write my master's thesis.

I need books about:

• log sources, log collection
• storage techniques, storing logs
• log analysis (maybe statistical analysis, data mining)
• analysis techniques
• reviewing logs for potential problems, methods of reviewing logs
• how to protect logs (remote logging, replication, write to cd)
• what can we do with logs? (automated tasks, alerts)
• maybe you will propose something?

I found:

• "Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management" Anton Chuvakin; Kevin Schmidt; Chris Phillips
• "Handbook of Research on Web Log Analysis" Bernard J. Jansen; Amanda Spink; Isak Taksa

but maybe you know others?

Answer 1

You can start learning about data mining here and if, you need a book, try this one.

For more on Machine learning you could go to videolectures.net

A great introductory lecture on the site is Machine Learning, Probability and Graphical Models by Sam Roweis.

Next, you can have a look at Tom Mitchell's seminar The Discipline and Future of Machine Learning. Here is a direct link to the video [mov]. And the Syllabus page has a good list of recommended texts:

• Neural Networks for Pattern Recognition by Christopher Bishop
• Pattern Classification by Richard Duda et. al.
• The Elements of Statistical Learning: Data Mining, Inference and Prediction by T.R. Hastie et. al.
• Information Theory, Inference, and Learning Algorithms by David MacKay
• Machine Learning by Tom Mitchell

Answer 2

Loved Applied Security Visualization, even though a bit dated is some respect, it is the foundation of a number of very interesting and innovative concepts that may serve you well during the formulation of some aspects of your thesis. Particularly when turning logs into meaningful information...