Eclat is a powerful Windows 7 software designed by Christian Borgelt for efficient and effective data-mining. It boasts a range of unique and advanced algorithms for finding frequent item sets, association rules, and emerging patterns from diverse data sources. With Eclat, users can analyze and visualize complex data sets with ease. The software is user-friendly, fast, and accurate, making it an ideal choice for professionals and researchers. Download Eclat today and discover a world of possibilities for data-mining!

A program to find frequent item sets (also closed and maximal as well as generators) with the eclat algorithm (Zaki et al. 1997), which carries out a depth first search on the subset lattice and determines the support of item sets by intersecting transaction lists. The current version of this program can only find frequent item sets, not association rules. It does not support the item clustering described by (Zaki et al. 1997), but it does support diffsets (Zaki and Gouda 2003) and several other algorithm variants.

A paper that describes some implementation aspects of an earlier version of this program (note that due to a complete redesign in version 3.0, this description does not fit the program anymore):

Efficient Implementations of Apriori and Eclat
Christian Borgelt.
Workshop of Frequent Item Set Mining Implementations (FIMI 2003, Melbourne, FL, USA).
fimi_03.pdf (304 kb) fimi_03.ps.gz (197 kb) (9 pages)

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