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Feature extraction and pattern recognition are two important technologies of speaker recognition system. We introduced the existing speaker recognition technology in this paper, proposed and implemented a speaker recognition algorithm based on the weighted fisher ratio of MFCC. Compared with the traditional feature selection methods, the characteristic(More)
In order to improve the efficiency of Apriori algorithm for mining frequent item sets, MH-Apriori algorithm was designed for big data to address the poor efficiency problem. MH-Apriori takes advantages of MapReduce and HBase together to optimize Apriori algorithm. Compared with the improved Apriori algorithm simply based on MapReduce framework, timestamp of(More)
In the logistics industry, if every business know the flow and flow direction of different items and the type of items clearly, it will convenient for the business to make sales plan in time and improve the income. Based on the idea, this paper designs a method, which for carry out statistical analysis on the flow of items, and introduce the specific(More)
With the development of science and technology, it generates a large amount of data. Data visualization is an important branch to help people get a better understanding of the changing trend of data. Data visualization is a significant method to Big Data Analysis, which shows the importance of data in a visual form. By using data visualization, people can(More)
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