Efficiently mining frequent itemsets with weight and recency constraints

In the past, a novel framework named recent weighted frequent itemset mining (RWFIM) and two projection-based algorithms, RWFIM-P and RWFIM-PE, were proposed to consider both the relative importance of items (item weights) and the recency of patterns. However, the projection-and-test mechanism used...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2017-10, Vol.47 (3), p.769-792
Hauptverfasser:	Lin, Jerry Chun-Wei, Gan, Wensheng, Fournier-Viger, Philippe, Chao, Han-Chieh, Hong, Tzung-Pei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer memory Computer Science Data mining Data structures Enumeration Machines Manufacturing Mechanical Engineering Mining Performance evaluation Processes Pruning Tables
Online-Zugang:	Volltext
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