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data mining相关的网络例句

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与 data mining 相关的网络例句 [注:此内容来源于网络,仅供参考]

In view of dual base cooperate principle in Knowledge Engineering, the common pattern and method of information mining in IDSS has been obtained which realize data mining and text mining and extend the source of knowledge for the knowledge base.

面向决策分析和知识获取的需要,基于数据仓库的基本思想,提出了决策支持数据库数据组织方法和体系框架,为提高智能决策支持系统的运行效率提供了基本保证。

This paper disserts the represent form of space data model, and discusses three dimensional space data model based on the grid, and points out the integrated necessariness and integrated represent method about the grid-vector spatial data model, and provids a Euclidean distance converting model and algorithm with regard to change from vector data to grid data, as well as establishes the foundation for spatial data handing and spatial data mining.

文章论述了空间数据模型的表示形式,重点讨论了基于栅格的三维空间数据模型,指出了栅格矢量空间数据模型集成化的必要性以及集成化表示方法,给出了将矢量数据转换为栅格数据的欧氏距离变换与算法,为基于栅格空间数据的空间数据处理和空间数据挖掘奠定了基础。

Association rules mining is a very active field in data mining and there are many algorithms today. In this field, the most classical algorithm is Apriori put forward by Agrawal et. al and it is used widely. The paper analyzes the advantages an disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a Support-Matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the speed of verify the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method.

关联规则挖掘是数据挖掘中一个非常活跃的领域,当前有许多种算法,最经典并被广泛使用的是Agrawal等人提出的Apriori算法及其衍生算法,本文分析了Apriori,AprioriTid和AprioriHybrid算法的优缺点,针对AprioriHybrid算法的瓶颈提出一种使用支持度矩阵对频繁2项集快速验证的方法,并给出一种简单易行,而又高效的逐步缩减交易数据库的方法,加快对候选频繁k项集的验证速度,从而提高了AprioriHybrid算法的效率。

For the incompleteness, noisiness and inconsistency in these data, we use some preprocess technologies of Data Mining, such as Data Cleaning, Data Transformation and Data Reduction, to process these source data.

针对这些数据的不完整性、有噪声性和不一致性,本文用数据清理、数据变换、数据归约等数据挖掘的预处理技术处理这些原始数据。

The results show that data mining techniques have an extensive application prospect and it is feasible to employ data mining techniques for analyzing aero-engines test-driving database

本文研究结果展示了数据挖掘方法在发动机试车领域广阔的应用前景,数据挖掘技术用于发动机试车数据库是切实可行的。

A simple, but typical, process might include prepro- cessing data, applying a data-mining algorithm, and visualizing the mining results.

一个简单、但典型的数据挖掘过程可能包括数据预处理阶段,数据挖掘算法的应用阶段,以及对挖掘结果的可视化处理阶段。

Finally, the thesis defines the steps of implementing data mining, cognizes and summarizes the problems existed, and validates the feasibility that data mining can be used in the customer knowledge management, through a practice of excavation cluster analysis in a case of Grand Hotel client knowledge acquisition.

最后,通过在军山大酒店的客户知识获取应用实例中挖掘聚类分析的实践,明确了在客户知识实施数据挖掘的步骤,认识和总结出实践中出现问题,验证了数据挖掘方法在客户知识管理中运用的可行性。

Data mining algorithms such as clustering and decision tree are used to find relationship between amount of investment and period of the project, and amount of investment and bill of quantity. By the help of data mining, we find the key of a project and then optimize the crucial path of the progress.

以这些数据作为挖掘的基础,在数据仓库环境里,针对石化安装工程的特点运用聚类和决策树等算法,研究了投资额和工期之间,投资额和工程量之间的关系,通过数据挖掘找出影响工程进度的关键因素,优化的关键路径,从而提高施工效率。

This paper tries to find the joint point of Data Mining technology and stock prediction by studying the application of data mining algorithm, especially neural network in stock prediction.

本文通过研究数据挖掘算法即神经网络在股票价格预测中的应用,来寻求数据挖掘技术与股票预测的结合点。

Data mining in time series has been one of the focuses of current data mining research.

对时间序列进行数据挖掘具有重要的意义,已成为当前研究的焦点之一。

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随着死亡的吉他手Schuldiner接受主唱的职务,乐队在现实中树立了重要的影响。

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