<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The date mining based on big data was a very important field. In order to improve the mining efficiency, the mining algorithm of frequent itemsets based on mapreduce and FP-tree was proposed, namely, MAFIM algorithm. Firstly, the data were distributed by mapreduce. Secondly, local frequent itemsets were computed by FP-tree. Thirdly, the mining results were combined by the center node. Finally, global frequent itemsets were got by mapreduce and the search strategy. Theoretical analysis and experimental results suggest that MAFIM algorithm is fast and effective.</p>
</abstract>

The date mining based on big data was a very important field. In order to improve the mining efficiency, the mining algorithm of frequent itemsets based on mapreduce and FP-tree was proposed, namely, MAFIM algorithm. Firstly, the data were distributed by mapreduce. Secondly, local frequent itemsets were computed by FP-tree. Thirdly, the mining results were combined by the center node. Finally, global frequent itemsets were got by mapreduce and the search strategy. Theoretical analysis and experimental results suggest that MAFIM algorithm is fast and effective.

The Mining Algorithm of Frequent Itemsets based on Mapreduce and FP-tree

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"The Mining Algorithm of Frequent Itemsets based on Mapreduce and FP-tree"}

The date mining based on big data was a very important field. In order to improve the mining efficiency, the mining algorithm of frequent itemsets based on...

The Mining Algorithm of Frequent Itemsets based on Mapreduce and FP-tree

Data publikacji: 11 kwi 2018

Zakres stron: 68 - 71

DOI: https://doi.org/10.21307/ijanmc-2017-059

Słowa kluczowe
FP-tree, Mapreduce, Frequent itemsets, Big data, Data mining

© 2017 Bo He et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The Mining Algorithm of Frequent Itemsets based on Mapreduce and FP-tree

Data publikacji: 11 kwi 2018

Zakres stron: 68 - 71

DOI: https://doi.org/10.21307/ijanmc-2017-059

Słowa kluczoweFP-tree, Mapreduce, Frequent itemsets, Big data, Data mining

© 2017 Bo He et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
FP-tree, Mapreduce, Frequent itemsets, Big data, Data mining