Environmental Examination of Data Mining Algorithms Based on Cloud-Computing

Abstract:

This article on cloud computing and data mining to a more comprehensive study to introduce the concept of cloud computing and data mining, pointed out that the traditional data mining techniques in the case of network test system of massive data mining, processing speed is slow, the load is not balancing and node efficiency is not high enough, Apriori algorithm based on the Map/Reduce parallel programming model, the distributed nature of cloud computing environments, make full use of cluster computing resources to support the parallel execution of algorithms by examples of cloud computing after Apriori algorithm in cloud computing environment to get higher efficiency of frequent itemsets mining algorithm performance than traditional data mining.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 2911-2914
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.2911
• Online since: August 2013
• Authors: Yi Zhuo Guo, Tao Dai
• Keywords: Apriori, Association Rule, Cloud Computing, Data Mining (DM), MapReduce, Teaching

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