第三部分城市空间动态数据挖掘。
空间动态预测是空间动态数据挖掘的主要手段。
Spatial dynamic prediction is the main method of spatial dynamic data mining.
使用Cognos Report内的动态数据挖掘结果：一个来自零售业的示例。
Consuming dynamic Data Mining results in Cognos Reports: An example from the retail sector.
本文从钢铁生产过程的特点出发，将动态数据挖掘运用于质量控制中，阐述了利用数据挖掘解决质量预测问题和质量分析问题的一般方法。
Based on properties of steel manufacture process, use of dynamic data mining in quality control is described. General methods for quality prediction and analysis with data mining are introduced.
从低温镀铁生产过程的特点出发，将动态数据挖掘技术运用于质量控制中，阐述了利用数据挖掘解决质量预测问题和质量分析问题的一般方法。
Based on properties of low temperature iron plating, use of dynamic data mining in quality control is described. General methods for quality prediction and analysis with data mining are introduced.
本系列的后续文章将展示如何使用穿透钻取定义完成一些更复杂事情，比如动态调用数据挖掘。
The upcoming articles of this series show how to do more powerful things with drill-through definitions, such as invoking data mining dynamically.
然后，再来看看如何从Cognos动态调用数据挖掘。
Then, see how to invoke data mining dynamically from Cognos.
接下来的文章将讨论一些更高级的话题，例如钻取、frameworkmanager中度量指标的使用以及从Cognos报告中动态调用数据挖掘。
The follow-up articles will discuss more advanced topics, such as drill-through, the use of metrics in the framework manager, and the dynamic invocation of data mining from Cognos reports.
Cognos可以通过调用SQL存储过程来动态地调用数据挖掘和评价。
Cognos can invoke data mining and scoring dynamically by calling SQL stored procedures. This allows for the following.
模型信息的提取和从Cognos 中对数据挖掘的动态调用将在本系列接下来的文章中谈到。
The extraction of model information and the dynamic invocation of mining from Cognos reports will be covered in the follow-up articles of this series.
本文通过对股票交易的决策来说明计算动词决策树对于动态过程历史记录的数据挖掘是非常有效。
In this paper, an example of decision training for exchanging stocks were used to show the usefulness of computational verb decision tree to data mining historical records of dynamical processes.
针对负荷预测过程中样本数据是滚动更新的特点，在RAPHF的基础上提出了具有动态挖掘能力的粗糙集增量算法raphf - I。
On the basis of RAPHF, a rough set incremental algorithm with dynamic mining ability, namely, RAPHF-I is proposed by considering the updating samples.
在增量式动态数据库中，提出了相容性和不相容性决策系统的数据挖掘模型。
In the dynamic increment database, data mining models of consistent and inconsistent decision system are formulated.
提出了一种新的基于数据挖掘和蜜罐技术的动态自适应入侵检测模型DMHDAIDM。
This article mainly did such work as below:(1) the paper proposed a new dynamic self-adaptive intrusion detection model DMHDAIDM which based on data mining and honey-pot technology.
前台应用系统实现和应用了多种数据分析方法，包括：静态报表、动态查询、多维在线分析及数据挖掘等。
The front application systems use some data analytic methods, for example static report, dynamic query, OLAP (Online analytic Processing) and data mining techniques.
另外，在现有的诸多领域，如数据挖掘、大型数据库和互联网信息处理等，其数据都是动态的。
In addition, the data is dynamic in a good many existing areas, such as data mining, large database and Internet information processing, etc.
首先阐述了相关概念，接着提出了一种基于动态数据流挖掘的案例推理模型，其中动态数据流挖掘算法采用改进的数据流聚类算法。
This paper describes the relevant concepts and presents a model of CBR based on dynamic data stream mining, and gives an improved clustering algorithm of data stream.
而针对目前数据的新特点，分布广，动态性，粗糙性等，一些智能化的数据挖掘技术便应运而生。
In terms of the new characteristics of current data, which is widely distributed, dynamic, rough and so on, a number of intelligent data mining technology come into being.
该方法采用数据网格树对动态数据网格进行全局控制和管理，采用挖掘作业命令的形式触发域挖掘作业，采用素数存储的方法进行了关联规则挖掘。
The method can control and manage the dynamic data grid overall situation ground, can trigger the data mining by order, can scoop out data using association rules by prime number saving.
本文选择蛋白质二级结构数据为主要的研究对象，应用数据挖掘技术和机器学习中的动态规划理论进行蛋白质结构分类。
Protein second structure data is chosen as main study object, and data mining and dynamic programming are applied to protein structure classification.
针对数据流的无限输入和动态变化等特点，提出一种新的基于距离的数据流离群点挖掘算法。
Concerning the infinite input and dynamic change in data stream environment, a new algorithm for detecting data stream outliers based on distance was proposed.
提出了一种基于动态规划和动态时间弯折函数的数据挖掘算法，并应用该算法对股市进行技术分析。
A new data-mining algorithm based on dynamic programming and dynamic time warping function was proposed and applied in technical analysis of stock market.
通过此模型使用基于动态数据流挖掘的案例推理技术，对数据进行实时挖掘，产生连续、动态的临时案例库，实现知识库的实时更新，从而满足实际问题变化的需要。
Through this model the system can mine real-time datum, produce continuous, dynamic temporary cases, update the knowledge base in real time and meet the needs of the practical problems.
集成知识获取(即数据挖掘)的方法，使系统能够动态地建立各种领域知识。
Integrated with AI technology, system can set up design environment with field knowledge. 2. KDD knowledge discovery I...
集成知识获取(即数据挖掘)的方法，使系统能够动态地建立各种领域知识。
Integrated with AI technology, system can set up design environment with field knowledge. 2. KDD knowledge discovery I...
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