Project details for Salad

Screenshot Salad 0.6.1

by chwress - June 17, 2016, 11:26:34 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

Letter Salad or Salad for short, is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al. (RAID 2006) and provides various extensions to it.

Salad is based on n-gram models, that is, data is represented as all its substrings of length n. During training these n-grams are stored in a Bloom filter. This enables the detector to represent a large number of n-grams in little memory and still being able to efficiently access the data. Salad extends Anagram by allowing various n-gram types, a 2-class version of the detector for classification and various model analysis modes.

Changes to previous version:

A teeny tiny fix to correctly handle input strings shorter than a registers width

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Windows, Unix, Posix, Mac Os X
Data Formats: Binary, Txt
Tags: Sequence Analysis, Sparse Learning
Archive: download here

Other available revisons

Version Changelog Date
0.6.1

A teeny tiny fix to correctly handle input strings shorter than a registers width

June 17, 2016, 11:26:34
0.6.0

After a full year of development we proudly present you several new features, plenty of bug fixes and better performance :)

  • It now is possible to process data on bit granularity salad [train|inspect] --binary
  • Performance improvements while simultaneously preserving and further advancing readability of the source code.
  • Suppress the verbose output of Salad salad [train|predict] -q
  • Extend the (unit) testing framework to support test of the overall application and memchecks using valgrind.
  • Testing mode was renamed: salad dbg -> salad test
  • Allow to select either client or server-side data when processing network communication.
  • libfoodstoragebox A library encapsulating advanced data structures such as bloom filters.
  • Fixes for a critical bug when using group input and several minor issues.
  • An optionally compressed, text-based model file format salad train -F (txt|archive)
  • The default hashset ('simple2') makes use of djb2 hash
  • Flawless builds using gcc, mingw and clang
December 1, 2015, 16:17:35
0.5.0

Lots and lots of cool new features and bugfixes ;)

  • Refinements to the user interface: This includes a progress indicator, colors, etc.
  • Determine the expected error (salad-inspect)
  • Enable the user to echo the used parametrization: salad [train|predict|inspect] --echo-params
  • Allow to set the input batch size as program argument: salad [train|predict|inspect] --batch-size
  • libsalad: The library allows to access salad's basic functions
  • Installers and precompiled binaries: Windows installer, Debian (ppa:chwress/salad) & RPM packages as well a generic linux installers.
  • Various minor bug fixes
  • Support for "length at end" zip files
  • Improve salad's usage in a 2-class setting: salad [train|predict|inspect] --input-filter
August 22, 2014, 17:54:56
0.4.3

Fixes a bug in prediction mode for the use of archives when -DUSE_NETWORK=ON

August 11, 2014, 11:16:49
0.4.2

Fixes a bug in the unit testing framework on Windows

December 25, 2013, 08:00:12
0.4.1

Fixes a critical bug that rendered the 0.4.0 release pretty much unusable

December 17, 2013, 16:05:06
0.4.0

Support for processing network dumps and capturing packets and streams directly from network interfaces. Furthermore we integrated unit tests, established a logging infrastructure for more consistent output and fixed various bugs.

November 28, 2013, 16:13:40
0.3.5

Initial Announcement on mloss.org.

October 15, 2013, 11:00:26

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