A Survey on Comparative Study of Minimum Spanning Tree Algorithm

2017 ◽  
Vol 5 (12) ◽  
pp. 249-253
Author(s):  
R. Gomathijayam ◽  
◽  
◽  
V. Santhi
2014 ◽  
Vol 701-702 ◽  
pp. 50-53
Author(s):  
Jian Liang Meng ◽  
Da Wei Li

Query recommendation as an important tool to enhance the user search efficiency has gradually become a hotspot. In the context of big data, using the MapReduce programming model, combined with distributed minimum spanning tree algorithm, a parallel query recommended method based on MapReduce was proposed in this paper. The final results show that the efficiency of query recommendation was greatly improved through parallel computing.


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