摘 要：关联规则的发现是数据挖掘中的一个重要问题．但只是对离散型数据进行处理。
Absrtact: Disoovery of association rule is an important problem in database mining, but it is merely used to handle the discrete data.
该方法对差分演化算法的操作算子进行改进，解决了差分演化算法生成离散型测试数据的问题。
This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm.
介绍了如何采用离散型系统仿真力法，以生产实际数据来建立钢锭从浇注到轧制过程的系统仿真模型的做法。
This paper introduces how to apply discrete system emulation method to establish a system emulation model from casting to rolling for steel ingot based on production data.
肿瘤诊断数据库中的属性常为数量型属性，因此如何将数量型属性离散化是挖掘关联规则的难点。
Attributes in the database of tumor diagnoses are usually quantitative attributes, so quantitative attribute discretization is a problem of mining association rules.
摘要 ： 在利用关联规则进行故障信息挖掘时，需要将连续型数据离散化和区间化。
Abstract : When mining fault information using association rule, consecutive data need to be discretized and regionalized.
为此对某型航空发动机的离散试车数据点进行了多元高次多项式拟合，建立了该型号发动机的稳态特性曲线。
While the discrete test run data of an aero-engine was adapted using the high order multi-parameters polynomial fit method, the steady characteristic curves were founded.
研究步骤为：首先将离散的隐含波动率数据转换为函数形式，然后进行函数型数据分析。
The research is intended to do like this: firstly, to change the discrete data of implied volatility into function.
本文主要介绍根据CAD造型数据计算上下模冲压顶杆的高度，并开发一台顶杆高度自动调节机械手调节离散型面模具顶杆高度。
The object of this dissertation is to calculate the height of screw mandrils from CAD data and develop a mechanical hand to adjust screw mandrils' height automatically.
本文主要介绍根据CAD造型数据计算上下模冲压顶杆的高度，并开发一台顶杆高度自动调节机械手调节离散型面模具顶杆高度。
The object of this dissertation is to calculate the height of screw mandrils from CAD data and develop a mechanical hand to adjust screw mandrils' height automatically.
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