Package: wnpp Severity: wishlist * Package name : dspam Version : 3.1.0 Upstream Author : Jonathan A. Zdziarski <[EMAIL PROTECTED]> * URL : http://www.nuclearelephant.com/projects/dspam/ * License : GPL Description : highly scalable, large scale, multi-statistic spam analyzer and filter
System-wide administratively-maintenance free filtering. The DSPAM agent masquerades as the email server's delivery agent (or proxy agent if necessary) providing filtering at the server level. A simple-to-use learning mechanism. DSPAM allows users to simply forward their spam to their "spam email address" for learning, eliminating any learning curve necessary to make it usable by your customers. The information used in every calculation is temporarily stored on the server, enabling DSPAM to relearn the original message by looking for a small signature in the forwarded spam. As a result, users don't have to be trained to 'bounce' messages around, and administrators don't have to worry about incompatible mail clients. Support for a variety of storage implementations. DSPAM's storage driver API allows the administrator to choose how they wish to store data. Currently supported drivers include SQLite, Berkeley DB3, Berkeley DB4, MySQL, PostgrSQL and Oracle. Multi-Algorithm Support. DSPAM presently supports the following combination algorithms: Graham-Bayesian, Burton-Bayesian, Robinson's Geometric Mean, and Fisher-Robinson's Chi-Square. The administrator may choose one or more of these algorithms to use when calculating against spam and even combine two or more for extended filtering reach. A strong focus on large-scale implementation support. The largest implementation of DSPAM heard involves 125,000 users, with the next largest being around 100,000, then 70,000. DSPAM has been designed to run with a very short execution time (between 0.01s - 0.03s real time for classification and between 0.03s - 0.10s real time for training, on average hardware), and has been equipped with a storage driver API allowing several different storage mechanisms to be used. Depending on disk space constraints, accuracy can be traded off for additional disk space or vice-versa -- System Information: Debian Release: 3.1 Architecture: i386 (i686) Kernel: Linux 2.4.26.20040601 Locale: LANG=C, LC_CTYPE=C (ignored: LC_ALL set to en_US)
