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超值 经典数据挖掘教材 Data Preparation for Data Mining [推广有奖]

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hitm 发表于 2009-11-22 10:09:07 |只看作者 |坛友微信交流群|倒序 |AI写论文
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+2 论坛币
很很很经典的教材
看到其他人收费很高,动辄五个论坛币
现特别奉献本书,仅售一个论坛币
希望得到大家的支持

特别说明:其实很多时候数据挖掘找不到预想的规则,仅仅是因为数据处理的不够好,所以即使是挖掘经验很丰富的人,也建议重新读一下
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关键词:Preparation Data Mining ration ratio ATION 经典 教材 Mining Data Preparation

Data Preparation.pdf

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沙发
hitm 发表于 2009-11-22 10:10:26 |只看作者 |坛友微信交流群
What This Book Is About
This book is about what to do with data to get the most out of it. There is a lot more to that
statement than first meets the eye.
Much information is available today about data warehouses, data mining, KDD, OLTP,
OLAP, and a whole alphabet soup of other acronyms that describe techniques and
methods of storing, accessing, visualizing, and using data. There are books and
magazines about building models for making predictions of all types—fraud, marketing,
new customers, consumer demand, economic statistics, stock movement, option prices,
weather, sociological behavior, traffic demand, resource needs, and many more.
In order to use the techniques, or make the predictions, industry professionals almost
universally agree that one of the most important parts of any such project, and one of the
most time-consuming and difficult, is data preparation. Unfortunately, data preparation
has been much like the weather—as the old aphorism has it, “Everyone talks about it, but
no one does anything about it.” This book takes a detailed look at the problems in
preparing data, the solutions, and how to use the solutions to get the most out of the
data—whatever you want to use it for. This book tells you what can be done about it,
exactly how it can be done, and what it achieves, and puts a powerful kit of tools directly in
your hands that allows you to do it.
How important is adequate data preparation? After finding the right problem to solve, data
preparation is often the key to solving the problem. It can easily be the difference between
success and failure, between useable insights and incomprehensible murk, between
worthwhile predictions and useless guesses.
For instance, in one case data carefully prepared for warehousing proved useless for
modeling. The preparation for warehousing had destroyed the useable information content
for the needed mining project. Preparing the data for mining, rather than warehousing,
produced a 550% improvement in model accuracy. In another case, a commercial baker
achieved a bottom-line improvement approaching $1 million by using data prepared with the
techniques described in this book instead of previous approaches.

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藤椅
依旧纯白 发表于 2010-3-31 10:13:02 |只看作者 |坛友微信交流群
谢谢分享

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板凳
毓闻 学生认证  发表于 2010-4-14 14:17:06 |只看作者 |坛友微信交流群
谢谢楼主分享,先拿来看看,感谢啦~

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报纸
njjsw_nj 发表于 2010-4-16 16:57:25 |只看作者 |坛友微信交流群
谢谢,下来看看

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地板
shiqs 发表于 2010-5-7 10:05:15 |只看作者 |坛友微信交流群
谢谢搂住啦~~~

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xiaosong1 发表于 2010-5-19 11:01:07 |只看作者 |坛友微信交流群
不错,谢谢分享!

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8
dokers 发表于 2010-5-19 16:00:42 |只看作者 |坛友微信交流群
的确是本好书,介绍了许多数据预处理的方法。

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redspan 发表于 2010-7-5 14:12:50 |只看作者 |坛友微信交流群
谢谢 正需要着呢。

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pinquion 发表于 2010-7-6 11:23:11 |只看作者 |坛友微信交流群
哎呀全是洋码子, 不过还是值得一看

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