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与传统的统计代写 https://www.academicsaviour.com/tong-ji-dai-xie 方法相比，数据挖掘具有以下等特点：数据挖掘特别适合于大数据，特别是几十万行、几百万行甚至更多的浩如烟海的数据群。数据挖掘通常是通过数据挖掘工具在实践中应用的，而这些挖掘工具的使用往往不需要专门的统计培训作为前提条件。然而，应该强调的是，基本的统计知识和技能是在这里是不可或缺的。在信息时代，数据分析的应用趋势是从大型数据库中获取数据，并用专门的软件进行分析，因此使用数据挖掘工具更适合商业实践和实际需要。从经营者的角度来看，数据挖掘技术更多的是由企业中的数据分析师和业务分析师使用，而不是由统计学家来进行测试。人们更普遍地认为，数据挖掘是统计分析技术的延伸和发展。

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4 yıl - çevirmek

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