Each mode has its own emphasis, among them, there are some already studied modes have much more research outcome, such as some methods in association rule mining, classification and forecast mode.
各种模式各有侧重，其中有一些已经研究得较为成熟，研究成果也较多，如挖掘关联规则、预测方法和分类模式中的一些其他方法。
Then, we implement classification modeling and forecast based on SVM.
然后基于支持向量机进行分类建模和预测过程。
There are many classification methods to forecast such as decision tree algorithm (C4.5), Bayes algorithm, BP algorithm and SVM.
现有的分类预测的方法有许多种，常见的有决策树算法(C4.5)、贝叶斯分类算法、BP算法与支持向量机等。
Finally, the experimental results show that the classification model based on mutual information can effectively improve forecast precision and accuracy performance of classification algorithm.
经实验证明，基于互信息量的分类模型可以有效地提高分类算法的预测精度和准确率。
The investigation demonstrates that SPA method proposed herein is applicable to problems of grade classification and trend forecast.
通过和常规的回归方法相比，阐明了集对分析方法在研究居民消费增量的等级变化问题方面的优点。
The investigation demonstrates that SPA method proposed herein is applicable to problems of grade classification and trend forecast.
通过和常规的回归方法相比，阐明了集对分析方法在研究居民消费增量的等级变化问题方面的优点。
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