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An efficient closed frequent itemset miner for the MOA stream mining system

Autor
Quadrana, M.; Bifet, A.C.; Gavaldà, R.
Tipus d'activitat
Document cientificotècnic
Data
2013
Codi
LSI-13-9-R
Repositori
http://hdl.handle.net/2117/99416 Obrir en finestra nova
Resum
Mining itemsets is a central task in data mining, both in the batch and the streaming paradigms. While robust, efficient, and well-tested implementations exist for batch mining, hardly any publicly available equivalent exists for the streaming scenario. The lack of an efficient, usable tool for the task hinders its use by practitioners and makes it difficult to assess new research in the area. To alleviate this situation, we review the algorithms described in the literature, and implement and ev...
Citació
Quadrana, M., Bifet, A.C., Gavaldà, R. "An efficient closed frequent itemset miner for the MOA stream mining system". 2013.
Paraules clau
Data mining, Data streams, Itemset mining, MOA, Stream mining
Grup de recerca
LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge

Participants

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