Call For Paper Volume:4 Issue:10 Oct'2017 |

A Survey on Improve Efficiency And Scability vertical mining using Agriculter large data base

Publication Date : 31/12/2014



Author(s) :

Annu kumari Mishra , Anju Singh , Divakar Singh.


Volume/Issue :
Volume 1
,
Issue 6
(12 - 2014)



Abstract :

Basic idea is that the search tree could be divided into sub process of equivalence classes. And since generating item sets in sub process of equivalence classes is independent from each other, we could do frequent item set mining in sub trees of equivalence classes in parallel. So the straightforward approach to parallelize Éclat is to consider each equivalence class as a data (agriculture). We can distribute data to different nodes and nodes could work on data without any synchronization. Even though the sorting helps to produce different sets in smaller sizes, there is a cost for sorting. Our Research to analysis is that the size of equivalence class is relatively small (always less than the size of the item base) and this size also reduces quickly as the search goes deeper in the recursion process. Base on time using more than using agriculture data we can handle large amount of data so first we develop éclat algorithm then develop parallel éclat algorithm then compare with using same data with respect time .with the help of support and confidence.


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A Survey on Improve Efficiency And Scability vertical mining using Agriculter large data base

December 30, 2014