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:

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

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

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