What are the differences between horizontal and vertical data representation as used by some DM algorithms such as Apriori and Eclat and what is best data structure to representation each one of them?
I think that the structure of the Trie is very used. We used also the notion of pseudo context to represent dataset to reduce the space during the process of association rules extraction.