Abstract
KRIMP is an algorithm based on information theory capable of capturing arbitrary length co-occurrence relations between itemsets in a database. Cross-compression sizes obtained from KRIMP code tables are a generalization of cross-entropy capable of taking into account such co-occurrence relations. This work investigates the application of KRIMP cross-compression to text
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