Abstract: This paper considers the association rule mining problem and provides an alternative to APRIORI algorithm, for solving this problem by splitting up the n-dimensional unit cube vertices into the chains using the well know technique introduced by G. Hansel. We use the further development of this technique given by G. Tonyan, which adds computability on levels of chains and chain splits. A brief description of the software implementation of the introduced alternative approach is given.

Keywords: association rule, data mining, unit cube.

ACM Classification Keywords: 1.5. Pattern recognition, H.2.8 Database applications, Data mining.

Link:

ASSOCIATION RULE MINING WITH N-DIMENSIONAL UNIT CUBE CHAIN SPLIT TECHNIQUE

Levon Aslanyan, Robert Khachatryan

http://www.foibg.com/ijita/vol17/ijita17-2-p01.pdf