| Description |
xx, 287 pages ; 24 cm |
| Contents |
An introduction to spam filtering concepts -- The history of spam -- Historical approaches to fighting spam -- Next generation filtering -- Shining examples of filtering -- Machine learning concepts -- Fundamentals of statistical filtering -- Statistical filtering fundamentals -- Decoding: uncombobulating messages -- Tokenization: the building blocks of spam -- Open source, OSX, and Milk Duds -- The low-down dirty details of spam -- Data storage for a zillion records -- Scaling for large-scale environments -- Advanced concepts of statistical filtering -- Concept identification: advanced tokenization -- Testing theory -- Fifth-order Markovian discrimination -- Concept identification: advanced tokenization -- Intelligent feature set reduction -- Collaborative algorithms -- Installing and using open source filters |
| Notes |
Includes index |
| Subject |
Electronic mail systems -- Security measures.
|
|
Spam (Electronic mail)
|
|
Filters (Mathematics)
|
| LC no. |
2005008221 |
| ISBN |
1593270526 |
|
