An efficient vertical-Apriori Mapreduce algorithm for frequent item-set mining

Algorithms such as OPUS and Apriori-based Mapreduce for enhancing the efficiency of mining frequent item-set for pattern recognition application from transactional dataset have been proposed in the literature. Most of these algorithms are, however, evaluated offline on relatively small data size. Wh...

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Veröffentlicht in:	2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) S. 108 - 112
Hauptverfasser:	Dawei Sun, Lee, Vincent Cs, Burstein, Frada, Haghighi, Pari Delir
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Apriori attribute identifier Big data Dairy products Data mining Distributed databases Frequent item-set mining Generators Itemsets Mapreduce Sugar
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