搜索
人大经济论坛 附件下载

附件下载

所在主题:
文件名:  code&data.zip
资料下载链接地址: https://bbs.pinggu.org/a-1289605.html
本附件包括:
  • Documentation.doc
附件大小:
17.89 MB   举报本内容
Data Preparation for Analytics using SAS(英文版)

【目录】
Part 1 Data Preparation: Business Point of View
Chapter 1 Analytic Business Questions
Chapter 2 Characteristics of Analytic Business Questions
Chapter 3 Characteristics of Data Sources
Chapter 4 Different Points of View on Analytic Data Preparation
Part 2 Data Structures and Data Modeling
Chapter 5 The Origin of Data
Chapter 6 Data Models
Chapter 7 Analysis Subjects and Multiple Observations
Chapter 8 The One Row-per-Subject Data Mart
Chapter 9 The Multiple-Rows-per-Subject Data Mart
Chapter 10 Data Structures for Longitudinal Analysis
Chapter 11 Considerations for Data Marts
Chapter 12 Considerations for Predictive Modeling
Part 3 Data Mart Coding and Content
Chapter 13 Accessing Data
Chapter 14 Transposing One- and Multiple-Rows-per-Subject Data Structures
Chapter 15 Transposing Longitudinal Data
Chapter 16 Transformations of Interval-Scaled Variables
Chapter 17 Transformations of Categorical Variables
Chapter 18 Multiple Interval-Scaled Observations per Subject
Chapter 19 Multiple Categorical Observations per Subject
Chapter 20 Coding for Predictive Modeling
Chapter 21 Data Preparation for Multiple-Rows-per-Subject and Longitudinal Data Marts
Part 4 Sampling, Scoring, and Automation
Chapter 22 Sampling
Chapter 23 Scoring and Automation
Chapter 24 Do’s and Don’ts When Building Data Marts
Part 5 Case Studies
Chapter 25 Case Study 1—Building a Customer Data Mart 305
Chapter 26 Case Study 2—Deriving Customer Segmentation Measures from Transactional Data
Chapter 27 Case Study 3—Preparing Data for Time Series Analysis
Chapter 28 Case Study 4—Data Preparation in SAS Enterprise Miner






    熟悉论坛请点击新手指南
下载说明
1、论坛支持迅雷和网际快车等p2p多线程软件下载,请在上面选择下载通道单击右健下载即可。
2、论坛会定期自动批量更新下载地址,所以请不要浪费时间盗链论坛资源,盗链地址会很快失效。
3、本站为非盈利性质的学术交流网站,鼓励和保护原创作品,拒绝未经版权人许可的上传行为。本站如接到版权人发出的合格侵权通知,将积极的采取必要措施;同时,本站也将在技术手段和能力范围内,履行版权保护的注意义务。
(如有侵权,欢迎举报)
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

GMT+8, 2026-1-2 09:12