1、

Toppling-sliding is a serious problem in mining and hydroelectricity construction.

在矿山开发、水电建设过程中倾倒变形问题日渐突出.

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2、

Application of data mining tools to analyze property management fee is causing malicious default risk factors, to help property management companies to find the main factors causing this problem, and even found that some analysts may have never thought about or tried other factors.

应用数据挖掘工具分析找到引起物业费恶意拖欠的风险因素,帮物业管理公司找到引起这个问题的主要因素,甚至还可能发现一些分析师从来没有想过或试过的其他因素。

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3、

Article author thinks, should take seriously and strengthen mining industry city to develop problem research.

文章作者认为, 应重视和加强矿业城市发展问题研究.

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4、

Some problem in lowering mining dilution ratio and loss ratio

降低采矿贫化率与损失率的几个问题

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5、

Moreover, association rule mining is used to discover hidden knowledge patterns from historical problem-solving logs.

此外, 关连式规则之探勘技术被应用于问题解决记录档中,发掘隐藏的知识样版.

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6、

This paper addresses the problem of Named Entity Mining ( NEM) from Click-Through data collected by search engine.

本文研究针对搜索引擎采集的大规模点击数据的命名实体挖掘技术。

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7、

Mining maximum frequent patterns is a key problem in data mining research.

挖掘最大频繁模式是多种数据挖掘应用中的关键问题.

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8、

Discovering frequent itemsets is a key problem in data mining association rules.

发现频繁项目集是关联规则数据开采中的关键问题.

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9、

Mining maximum frequent itemsets is a key problem in data mining field with numerous important applications.

挖掘最大频繁项集是多种数据挖掘应用中的关键问题.

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10、

The scientific mining method of steep and close seam is always the difficult problem in Urumchi diggings.

而急斜近距煤层科学的开采方法,则更是长期困扰乌鲁木齐矿区的开采难题。

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11、

Therefore, how to determine the thickness of the reservation layer in such a mining system is an important yet to be solved problem.

因此如何确定露天地下联合开采矿山保留层厚度是个重要且有待解决的问题。

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12、

the problem of methane overrun can be solved by adopting the way of drainage and mining.

在回采过程中,由于区域瓦斯储量大,工作面瓦斯超限,采取边采边抽的方法能够解决工作面瓦斯超限.

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13、

In this paper we discuss this problem in detail and put forward a method of mining positive and negative temporal correlation based on statistics.

该文对这类问题进行了详细的讨论,提出了一种基于统计方法的正负时态相关性挖掘算法。

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14、

However, it is a problem how to exercise those definition and properties in practice. So this paper proposes temporal relational pattern to realize switching from theory of temporal data to practical application. This paper applies theory of rough set to study temporal data mining.

本文提出的时态关系模式在这方面作了初步研究,在时态数据理论上的定义、性质和实际应用之间建立了一个转换的机制,并且运用了粗糙集理论对时态数据挖掘进行了研究。

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