Research on Data Mining Technology Based on Weka Platform
Science Discovery
Volume 5, Issue 4, August 2017, Pages: 287-292
Received: Jun. 6, 2017; Published: Jun. 8, 2017
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Author
Wang Pan Zao, Department of Information and Engineering, Sichuan Tourism University, Chengdu, China
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Abstract
Research uses Weka big data mining technology platform to analyze the data.The association rules miningmethods of discrete sample data by Weka technology,using SimpleKMeans clustering algorithm for clustering analysisof thesimulated sample data mining, common features of each type of data and the difference data between differentclusters from where, for a variety of data region division, analysis of different regions of the data distribution. For example, mining research project, a school in the college entrance examination scores data for the simulation sample, in Chinese, math and English college entrance examination scores as the object of analysis of large data mining, thepaper in science classes, the language, the total scores were compared with the distribution.The integrated use of statistical analysis and data mining technology, mining analysis on college entrance examination data deeply, get useful informationwith performance clustering, has strong theoreticalvalue, can help to the college entrance examination reform, give some guidance to high school education.
Keywords
Data Mining, Cluster Analysis, Weka Platform, College Entrance Examination
To cite this article
Wang Pan Zao, Research on Data Mining Technology Based on Weka Platform, Science Discovery. Vol. 5, No. 4, 2017, pp. 287-292. doi: 10.11648/j.sd.20170504.18
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