The classification is an important task of data mining, and the decision tree is a method used effectively for data classification.

The host computer mainly achieves the task of data display, alarm, storage and query.

上位机的作用主要完成数据的显示、报警、保存和查询功能。

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The author probes into the main task of data preprocessing deeply, and introduces a plan.

本文深入探讨了数据预处理的主要任务，提出了一种新的Web挖掘预处理方案。

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Association rule discovery, as a kernel task of data mining, has been studied widely.

作为数据挖掘核心任务之一的关联规则发现已经得到了广泛的研究。

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Outlier data mining is a new task of data mining, and is widely used in daily life.

离群数据挖掘是数据挖掘的一个新兴课题，在实际生活中有广泛的应用。

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In the design, this system uses the original analysis technique of the requirements of role and task oriented data.

在设计中采用了独创的面向角色、任务的数据需求分析方法。

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Mining association rules and sequential rules from large databases is an important task of data mining.

关联规则和时序规则是数据挖掘的任务之一。

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The outlier detection is an important task of data mining and knowledge discovery in database.

综述了离群数据（outliers）探测是数据挖掘和知识发现的一项重要任务及其在天文学中兴起的必然性。

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Typically, a PHP application's most time-consuming task is data retrieval.

通常，PHP应用程序中最耗费时间的任务是数据检索。

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In the early stage, EDI system simplified the task of data transmission between companies.

早期的EDI系统极大地简化了企业之间数据传递的任务，推动了全球无纸化贸易。

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Detecting approximately duplicate database records is an important task in data cleaning.

相似重复记录识别是数据清理中的一个关键问题。

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Interrelation analysis of rare data is an important and valuable task in data mining.

分析稀少数据的相关性是一种重要的、有价值的数据挖掘任务。

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Interconnect unit allocation is the final important task in data path synthesis.

互连单元的分配是数据路径综合中的最后的一个重要任务。

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Classification is a important task of data mining and it is most applied in business.

分类在数据挖掘中是一项非常重要的任务，目前在商业上应用的最多。

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The task of data mining is mining useful information from a mass of data.

从大量的数据中挖掘出有用的信息是数据挖掘的任务。

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Discovery of association rules is an important task of data mining.

发现关联规则是数据挖掘的一个重要的任务。

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Classification is an important task of data mining.

分类是数据挖掘的一项主要任务。

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The task of data mining is finding patterns from data.

数据挖掘的任务是从数据中发现模式。

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The data module is made up of database and some kinds of database interfaces. There are much information in the module, for example software user ID data, class data, classroom data, instructor data, course data and teach task data and so on.

数据模块由数据库及各种数据库接口组成，其中包括了软件用户的身份资料，班级的相关资料，教室的相关资料，教师的相关资料，课程的相关资料，教学授课任务的相关资料。

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The improved method first collects the production system data such as task data, process data and capacity data and builds the model of the production system using discrete event modeling and simulation software, and then run the model to determine the location of bottleneck.

该方法首先收集生产系统的数据，如任务数据、流程数据和能力数据，用离散事件系统建模与仿真软件来建立系统模型，然后仿真运行来确定系统的瓶颈；

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Store task data in any of four managed scopes: request, flash, flow, and conversation; each with their own distinct semantics.

在4个受管理域中存储任务数据：request、flash、flow、和、conversation等，每个都有自己的独特语义。

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