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<p><strong><font size="6">Data Preparation for Data Mining Using SAS® Software</font></strong></p><p><strong><font size="6">Course Notes(pdf. 236 pages)</font></strong></p><p></p><p></p><p> 287110.pdf (2.17 MB, 需要: 1 个论坛币)

2009-1-18 04:42:00 上传

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关键词：Preparation Data Mining recourse software Course

内容简介也没有。

<p>好的，章节内容如下：</p><p>Chapter 1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Introduction............................................................................................. 1-1</p><p>Chapter 2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Extracting Relevant Data....................................................................... 2-1</p><p>Chapter 3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Transforming Transaction and Event Data......................................... 3-1</p><p>Chapter 4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Using Non-Numeric Data....................................................................... 4-1</p><p>Chapter 5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Managing Data Pathologies.................................................................. 5-1</p><p>Appendix A&nbsp;&nbsp;&nbsp;&nbsp; Program Listings................................................................................... A-1</p><p>Appendix B&nbsp;&nbsp;&nbsp; Exercises............................................................................................... B-1</p>

<p></p><p><span><strong>Mamdouh Refaat “</strong>Data Preparation for<strong><br/>&nbsp;&nbsp;&nbsp;</strong><span class="IL_SPAN">Data Mining</span> Using SAS" </span><br/>Morgan Kaufmann | 2006-09-29 | ISBN: 0123735777 | 424 pages | PDF | 2,3 MB</p><p>不知道跟这个有什么区别？</p>

[此贴子已经被作者于2009-1-18 16:49:06编辑过]

<p>回复楼上的， 作者不一样。你的那本我不清楚，我的这本内容如下：</p><p><strong>Course Description</strong><br/>Data preparation is universally held as the key to successful data mining. This course introduces<br/>programming techniques used by analysts to transform raw data into a form suitable for<br/>predictive modeling. The course teaches you how to extract appropriate data from raw data<br/>sources and transform transactions or event data to a form that predictive models can utilize. You<br/>also learn how to effectively incorporate non-numeric data in predictive models as well as<br/>manage exceptional and extreme data. After completing this course, you also will be able to<br/>document the data preparation process.</p>