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lily wei's site - 小小记录池,感悟生活

数据挖掘过程有时也称为知识发现,或者数据库中的知识发现 knowledge discovery in databases,KDD. 分类 classification ——-定向挖掘. 估计 estimation ——-定向挖掘. 预测 prediction ——-定向挖掘. 关联分组 affinity grouping 或关联规则 association rule ——-非定向挖掘. 聚类 clustering ——-非定向挖掘. 描述和建立简档 description and profiling ——-可以是定向挖掘,也可以是非定向挖掘. 8212;— MapReduce. 8212;— GFS. 8212;— BigTable. 序列化,可以存储 活的 对象,可以将 活的 对象发送到远程计算机。 把 活的 对象序列化,就是把 活的 对象转化成一串字节,而 反序列化 ,就是从一串字节里解析出 活的 对. 于是,如果想把 活的 对象存储到文件,存储这串字节即可,如果想把 活的 对象发送到远程主机,发送这串. 但这种分类比较粗放,我们依然不知道在每一个客户层面,谁是 好 客户,谁是 差 客户。

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PAGE TITLE
lily wei's site - 小小记录池,感悟生活 | lilywei.com Reviews
<META>
DESCRIPTION
数据挖掘过程有时也称为知识发现,或者数据库中的知识发现 knowledge discovery in databases,KDD. 分类 classification ——-定向挖掘. 估计 estimation ——-定向挖掘. 预测 prediction ——-定向挖掘. 关联分组 affinity grouping 或关联规则 association rule ——-非定向挖掘. 聚类 clustering ——-非定向挖掘. 描述和建立简档 description and profiling ——-可以是定向挖掘,也可以是非定向挖掘. 8212;— MapReduce. 8212;— GFS. 8212;— BigTable. 序列化,可以存储 活的 对象,可以将 活的 对象发送到远程计算机。 把 活的 对象序列化,就是把 活的 对象转化成一串字节,而 反序列化 ,就是从一串字节里解析出 活的 对. 于是,如果想把 活的 对象存储到文件,存储这串字节即可,如果想把 活的 对象发送到远程主机,发送这串. 但这种分类比较粗放,我们依然不知道在每一个客户层面,谁是 好 客户,谁是 差 客户。
<META>
KEYWORDS
1 生活随想
2 数据挖掘技术 市场营销、销售与客户关系管理 第一章
3 第一章 数据挖掘的缘起和内容
4 用于客户关系管理的数据挖掘的核心思想是过去的数据包含对未来有用的信息
5 数据挖掘的目标是从历史数据中找寻不同的模式,这些模式反映了这些需要、倾向和嗜好
6 数据挖掘是探测和分析大量数据以发现有意义的模式和规则的过程
7 商用数据挖掘工具从统计学、计算机科学和机器学习研究等方面借鉴了很多技术
8 数据挖掘分为定向和非定向两类
9 定向数据挖掘的目的是解释或者分类某个特殊的目标域、如收获或者反馈
10 数据挖掘域模型构造密切相关
CONTENT
Page content here
KEYWORDS ON
PAGE
生活随想,数据挖掘技术 市场营销、销售与客户关系管理 第一章,第一章 数据挖掘的缘起和内容,用于客户关系管理的数据挖掘的核心思想是过去的数据包含对未来有用的信息,数据挖掘的目标是从历史数据中找寻不同的模式,这些模式反映了这些需要、倾向和嗜好,数据挖掘是探测和分析大量数据以发现有意义的模式和规则的过程,商用数据挖掘工具从统计学、计算机科学和机器学习研究等方面借鉴了很多技术,数据挖掘分为定向和非定向两类,定向数据挖掘的目的是解释或者分类某个特殊的目标域、如收获或者反馈,数据挖掘域模型构造密切相关,hdfs
CONTENT-TYPE
utf-8
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lily wei's site - 小小记录池,感悟生活 | lilywei.com Reviews

https://lilywei.com

数据挖掘过程有时也称为知识发现,或者数据库中的知识发现 knowledge discovery in databases,KDD. 分类 classification ——-定向挖掘. 估计 estimation ——-定向挖掘. 预测 prediction ——-定向挖掘. 关联分组 affinity grouping 或关联规则 association rule ——-非定向挖掘. 聚类 clustering ——-非定向挖掘. 描述和建立简档 description and profiling ——-可以是定向挖掘,也可以是非定向挖掘. 8212;— MapReduce. 8212;— GFS. 8212;— BigTable. 序列化,可以存储 活的 对象,可以将 活的 对象发送到远程计算机。 把 活的 对象序列化,就是把 活的 对象转化成一串字节,而 反序列化 ,就是从一串字节里解析出 活的 对. 于是,如果想把 活的 对象存储到文件,存储这串字节即可,如果想把 活的 对象发送到远程主机,发送这串. 但这种分类比较粗放,我们依然不知道在每一个客户层面,谁是 好 客户,谁是 差 客户。

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数据挖掘过程有时也称为知识发现,或者数据库中的知识发现 knowledge discovery in databases,KDD. 分类 classification ——-定向挖掘. 估计 estimation ——-定向挖掘. 预测 prediction ——-定向挖掘. 关联分组 affinity grouping 或关联规则 association rule ——-非定向挖掘. 聚类 clustering ——-非定向挖掘. 描述和建立简档 description and profiling ——-可以是定向挖掘,也可以是非定向挖掘. 8212;— MapReduce. 8212;— GFS. 8212;— BigTable. 序列化,可以存储 活的 对象,可以将 活的 对象发送到远程计算机。 把 活的 对象序列化,就是把 活的 对象转化成一串字节,而 反序列化 ,就是从一串字节里解析出 活的 对. 于是,如果想把 活的 对象存储到文件,存储这串字节即可,如果想把 活的 对象发送到远程主机,发送这串. 但这种分类比较粗放,我们依然不知道在每一个客户层面,谁是 好 客户,谁是 差 客户。

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