| 000 | 00897camuu2200277 a 4500 | |
| 001 | 000045691586 | |
| 005 | 20120217192853 | |
| 008 | 120216s2011 nyua b 001 0 eng d | |
| 015 | ▼a GBB156550 ▼2 bnb | |
| 020 | ▼a 9781441998897 (pbk.) | |
| 020 | ▼a 1441998896 (pbk.) | |
| 040 | ▼a StDuBDS ▼b eng ▼c StDuBDS ▼d 211009 | |
| 082 | 0 4 | ▼a 006.312 ▼2 22 |
| 084 | ▼a 006.312 ▼2 DDCK | |
| 090 | ▼a 006.312 ▼b W723d | |
| 100 | 1 | ▼a Williams, Graham J. |
| 245 | 1 0 | ▼a Data mining with Rattle and R : ▼b the art of excavating data for knowledge discovery / ▼c Graham Williams. |
| 260 | ▼a New York ; ▼a London : ▼b Springer, ▼c 2011. | |
| 300 | ▼a xx, 374 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a Use R! |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Data mining. |
| 650 | 0 | ▼a R (Computer program language) |
| 830 | 0 | ▼a Use R!. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.312 W723d | 등록번호 111657748 (10회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
With a focus on the hands-on, end-to-end process for data mining, this book 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.
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.
New feature
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.
정보제공 :
목차
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.
정보제공 :