Research on Big Data Mining Technology Based on Apriori Optimization
In the era of big data,big data mining provides data support for organizations to make accurate and scientific decisions.Apriori algorithm is widely used in big data mining,but it has problems such as large data load,low mining efficiency and high redundancy.The Apriori data mining algorithm is optimized by using Map Reduce framework to divide computing tasks into multiple parallel tasks to improve data processing effi-ciency.The improved Apriori algorithm is applied to network intrusion big data mining,and compared with traditional Apriori algorithm.The results show that the improved Apriori algorithm has higher data mining effi-ciency than the traditional Apriori algorithm,and can effectively reduce the false detection rate and missing detection rate of network intrusion data.
big data miningMap Reduce computing frameworkApriori algorithmCyber intrusion into big da-ta
万方数据
维普
