For example, if you're running a large data-mining task, you might want to review the interim output and any errors that occurred during execution.
例如，如果您正在运行大型的数据挖掘任务，则可能要检查执行过程中的中间输出以及可能出现的任何错误。
Data mining is the task of finding useful information in large datasets.
数据挖掘是一项从大型数据集中发现有用信息的任务。
Historically, data mining has been a task that could only be accomplished by experts in statistics and data analysis.
在过去，数据挖掘一直是统计和数据分析专家的任务。
Mining quantitative association rules is an important task of data mining.
量化关联规则的挖掘是数据挖掘的一项重要任务。
Combining data mining into a mobile environment is a challenging research task, which has broad prospective applications.
将数据挖掘应用到移动计算环境中是一项具有挑战性的研究课题，具有广阔的应用前景。
Text categorization is an important task in Data Mining, and it is an important way for getting information.
文本分类是数据挖掘的重要课题，它是获取信息资源的重要方式之一。
As an importance task and method for Data Mining, clustering analysis has a great impact on algorithmic efficiency and clustering quality, which is one of difficult problems in Computer Science area.
聚类分析是数据挖掘中一种重要的挖掘任务和挖掘方法，使得聚类算法的效率和聚类质量在数据挖掘中起着至关重要的作用，也成了计算机科学领域的难题之一。
Will produce different kind of knowledge in different data mining task.
不同的数据挖掘任务会产生出不同类型的知识。
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。
Discovering association rules is one of the most important task in data mining.
挖掘关联规则是数据挖掘的一个重要任务之一。
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。
Classification is an important task in data mining field, how to discover the intelligible and interesting classification rules is one of the main problems facing data mining.
分类是数据挖掘的一项重要任务，如何发现可理解的、令人感兴趣的分类规则是数据挖掘面临的一个主要问题。
This paper comprehensively introduces the concept, classification, task, methods and pricipal applications of data mining.
本文综合介绍了数据挖掘的概念、分类、任务和方法，并展示了其丰富的应用领域。
Constrained cube gradient mining is an important mining task and its goal is to extract the pairs of gradient-probe cell satisfy the gradient constraint from a data cube.
约束立方梯度挖掘是一项重要的挖掘任务，其主要目的是从数据立方中挖掘出满足梯度约束的梯度-探测元组对。
Mining frequent items is a basic task in stream data mining.
频繁项集是挖掘流数据挖掘的基本任务。
Trends are clarified based on the task and object of Visual Data Mining.
基于可视化数据挖掘的任务和目标，阐述了可视化数据挖掘技术的发展趋势。
The mining of frequent items in transactional database is an important task of data mining.
挖掘事务库中的频繁项集是数据挖掘的重要任务之一。
Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text.
关系抽取是文本挖掘的一项重要研究内容，它能够反映命名实体之间的关系，有助于发现隐含在大量数据和文本中的知识。
Data mining is a complex and demanding task.
数据挖掘是一个复杂而又需求庞大的任务。
The primary task in data mining is the modeling of aggregated data.
数据挖掘中主要的任务就是针对聚集数据的建模问题。
Discovery of association rules is an important task in data mining, which has been found very useful in many areas.
关联规则发现是数据挖掘中的重要问题，有广泛的应用领域。
Data mining aims at the task of the above work.
这正是数据挖掘所要完成的任务。
Classification is a very important task of data mining, its purpose is to find out classifying function or classifying model.
分类是数据挖掘中一项十分重要的任务，其目的是找出分类函数或者分类模型。
Frequent items mining is a very basic but important task in the data stream processing.
频繁项集挖掘是一个非常基本的，但最重要的任务，在数据流处理。
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key problems for data mining.
数据分类是数据挖掘中的一个重要课题，研究各种高效的分类算法是数据挖掘的重要问题之一。
The main task of data mining is data analysis and processing, gains the implicit, prior unknown and useful knowledge.
数据挖掘的主要任务就是对数据进行分析处理，从而获得其中隐含的、事先未知的而又有用的知识。
Discovering implicit rules from data sets is the main task of data mining. The discovered rules can be devided into common rules and exceptional rules.
数据开采研究的主要任务就是发现数据集合中隐含的规则，发现的规则分为常规性规则和意外规则。
Defining appropriate membership functions is a difficult task in fuzzy data mining to detect intrusions.
建立合适的隶属度函数是入侵检测中应用模糊数据挖掘所面临的一个难点。
Defining appropriate membership functions is a difficult task in fuzzy data mining to detect intrusions.
建立合适的隶属度函数是入侵检测中应用模糊数据挖掘所面临的一个难点。
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