In the final chapter, we mine stock trading data using time series method, find out the model and outliers in the data and, at last, we show the more exact forecasting model and outlier mining method.
第五章利用时间序列的方法对证券交易数据进行了挖掘，找出了数据中的模式和异常，相对传统方法而言，给出了更精确的预测模型和异常挖掘方法。
First of all, the paper will introduce the existing life-time model of data mining, the concepts of outlier and the algorithms for mining outliers.
本文首先简单回顾已有的数据挖掘生命周期模型以及异常点基本概念和挖掘算法。
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