HIGHLIGHTS
SUMMARY
Output pattern sampling consists in generating a sample of patterns among the patterns that would have been extracted from the complete dataset. The main objective is therefore to propose a generic output pattern sampling algorithm that extracts patterns proportionally to a length-based utility measure from a trie of occurrences. The authors introduce a new structure called trie of occurrences then the authors propose TPSpace (Trie-based Pattern Space), an algorithm for its construction. The authors propose TPSampling (Trie-based Pattern Sampling), a generic algorithm for sampling patterns from a trie of occurrences according . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.