Improvements in the Data Partitioning Approach for Frequent Itemsets Mining

Frequent Itemsets mining is well explored for various data types, and its computational complexity is well understood. There are methods to deal effectively with computational problems. This paper shows another approach to further performance enhancements of frequent items sets computation. We have...

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Bibliographische Detailangaben
Hauptverfasser: Nguyen, Son N., Orlowska, Maria E.
Format: Buchkapitel
Sprache:eng
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