An Analysis of Association Rule Mining Algorithm Techniques Geographical Point of Interest in Big Data

2018 ◽  
Vol 6 (6) ◽  
pp. 776-781
Author(s):  
Sachin Kumar Pandey
Keyword(s):  
Big Data ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Point Of Interest ◽  
Mining Algorithm ◽  
Geographical Point

scholarly journals Neutrosophic Association Rule Mining Algorithm for Big Data Analysis

Symmetry ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 106 ◽  
Author(s):  
Mohamed Abdel-Basset ◽  
Mai Mohamed ◽  
Florentin Smarandache ◽  
Victor Chang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Big Data Analysis ◽  
Rule Mining ◽  
Mining Algorithm

Implement of Hyper-Graph System Based on Three-Dimensional Matrix Model

2014 ◽  
Vol 644-650 ◽  
pp. 1809-1812
Author(s):  
Hua Jian Lan ◽  
Yuan Xin Tang ◽  
Xin Rui Song ◽  
Guang Lu Yu
Keyword(s):  
Big Data ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Three Dimensional ◽  
Processing Capacity ◽  
Rule Mining ◽  
Dimensional Matrix ◽  
Mining Algorithm ◽  
Graph System

At present the majority of association rule mining algorithm only uses support and confidence to evaluate association rules, association rules which may contain a large number of redundant, meaningless, Introducing the concepts of hyper-graph and system and exploring to construct the hyper-graph on the model of three-dimensional matrix. According to the characteristics of Big Data, the new hyper-edge definition method is adopted combining the concept of system, thus improving the processing capacity.

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