A Fast Algorithm for Mining Rare Itemsets

A Fast Algorithm for Mining Rare Itemsets

Mining patterns in large databases is a challenging task facing NP-hard problems. Research focused attention on the most occurrent patterns, although less frequent patterns still offer interesting insights. In this paper we propose a new algorithm for discovering infrequent patterns and compare it t...

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Bibliographische Detailangaben
Hauptverfasser: Troiano, L., Scibelli, G., Birtolo, C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
APriori
ARIMA
Association Rules
Data engineering
Data mining
Deductive databases
Design engineering
Frequent Itemsets
Genetics
Intelligent systems
Itemsets
Lattices
NP-hard problem
Rarity
Rate Itemsets
Transaction databases
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Beschreibung
Zusammenfassung:Mining patterns in large databases is a challenging task facing NP-hard problems. Research focused attention on the most occurrent patterns, although less frequent patterns still offer interesting insights. In this paper we propose a new algorithm for discovering infrequent patterns and compare it to other solutions.
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2009.55