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根据当今答疑系统的缺点,提出了一套基于数据挖掘算法的答疑设计方案,将改进的关联规则算法应用于文本聚类中,可以将数据库中问题更加准确地分类,因此可以将用户提出的问题快速定位,提高答疑速率.将聚类后的问题库应用关联规则,可以得到更加准确的关联表,用于提取论坛数据库中的最优答案,进而形成一个快速且准确的自动答疑系统.实验结果表明该方案具有智能性、自我更新性能、节约存储空间和提高答疑效率等优点.
According to the shortcomings of today’s answering system, a set of answering design scheme based on data mining algorithm is proposed. By applying the improved association rules algorithm to text clustering, the problems in database can be classified more accurately, so the problems raised by users Quickly locate and improve the answering rate.Applying the association rules to the clustered problem library can get a more accurate association table for extracting the best answer in the forum database so as to form a fast and accurate automatic answering system.Experimental results It shows that the scheme has the advantages of intelligence, self-renewal performance, saving storage space and improving answering efficiency.