|32 bit||64 bit||(32/64 bit only for executable)|
|sam||(392 kb)||sam||(399 kb)||GNU/Linux executable|
|sam.exe||(256 kb)||sam.exe||(292 kb)||Windows console executable|
|sam.zip||(202 kb)||sam.tar.gz||(184 kb)||C sources, version 3.22 (2017.05.30)|
|census.zip||(382 kb)||census data set (UCI ML repository)|
|census||(2 kb)||shell script used for the conversion|
SaM is a program to find frequent item sets (also closed and maximal) with a split and merge algorithm (Split and Merge), which combines a depth-first traversal of the subset lattice with a horizontal transaction representation. The main strength of this algorithm is not its speed (although it is not slow, but even outperforms Apriori and Eclat on some data sets), but the simplicity of its structure. Basically all the work is done in one recursive function of about fairly few lines of code. In addition, it only uses a simple array as the only data structure.
Note that the current version of this program can only find frequent item sets, not association rules.
Full description of the SaM program (included in the source package).
If you have trouble executing the program on Microsoft Windows, check whether you have the Microsoft Visual C++ Redistributable for Visual Studio 2017 (see under "Other Tools and Frameworks") installed, as the program was compiled with Microsoft Visual Studio 2017.
Papers that describe this algorithm/implementation:
More information about frequent item set mining, implementations of other algorithms as well as test data sets can be found at the Frequent Itemset Mining Implementations Repository.