Apriori is an incredible software developed by Christian Borgelt, designed to help Windows 7 users with efficient and easy-to-use association rule mining algorithms. With this software, you can perform advanced data analysis, statistical analysis, and pattern recognition for your business or research-oriented needs seamlessly. The software boasts of highly optimized mining algorithms that are both reliable and time-efficient, making it easier for you to concentrate on other important tasks. Precisely, Apriori is a must-have for anyone looking to derive value from data mining.

A program to find association rules and frequent item sets (also closed and maximal as well as generators) with the Apriori algorithm (Agrawal et al. 1993), which carries out a breadth first search on the subset lattice and determines the support of item sets by subset tests. This is a pretty fast implementation that uses a prefix tree to organize the counters for the item sets. However, Apriori is outperformed on basically all data sets by depth-first algorithms like Eclat or FP-growth.

The special program version "apriacc" is designed for the purpose of finding neuronal assemblies in spike train data and can be seen as an analog of the implementation of the accretion algorithm as it provides basically the same set of options.

Full description of the apriori program (included in the source package).

Earlier versions of this program are incorporated in the data mining tool Clementine, available from SPSS (Apriori version 1.8 in Clementine version 5.0, Apriori version 2.7 in Clementine version 7.0, last version shipped to SPSS is 4.30, nevertheless newer versions may be available in newer versions of Clementine).

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