Data Mining with Rattle and R- (Use R)

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Data Mining with Rattle and RThe Art of Excavating Data for Knowledge Discovery

Series: Use R

Williams, Graham

• Encourages the concept of programming with data - more than just pushing data through tools, but learning to live and breathe the data
• Accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics
• Details some of the more popular algorithms for data mining, as well as covering model evaluation and model deployment
  

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms.
Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing.
The book covers data understanding, data preparation, data refinement, model building, model evaluation,  and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Content Level » Research
Keywords » Data mining

Related subjects » Physical & Information Science

Table of contents Introduction.- Getting Started.- Working with Data.- Loading Data.- Exploring Data.- Interactive Graphics.- Transforming Data.- Descriptive and Predictive Analytics.- Cluster Analysis.- Association Analysis.- Decision Trees.- Random Forests.- Boosting.- Support Vector Machines.- Model Performance Evaluation.- Deployment.

下载链接：http://ifile.it/uwmysth/Data%20Mining%20with%20Rattle%20and%20R.pdf

希望大家喜欢！

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

分享0 收藏2 回帖

关键词：Data Mining rattle Data Mini ning

谢谢斑竹提供的好书

good book thank you .

感谢分享，队伍越来越强大了，哈哈

可以再发一下吗  我下载不了  不知道是怎么回事  

重新发一个文件的形式   麻烦楼主了

麻烦好心人发我一份  邮箱871765044@qq.com

多谢，学习了。

谢谢分享谢谢分享

回复支持一下。