| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045878913 | |
| 005 | 20160818144354 | |
| 008 | 160818s2013 ncua b 001 0 eng d | |
| 020 | ▼a 1612903150 | |
| 020 | ▼a 9781612903156 | |
| 035 | ▼a (KERIS)BIB000013416323 | |
| 040 | ▼a 211061 ▼c 211009 ▼d 211009 | |
| 082 | 0 0 | ▼a 006.3 ▼2 23 |
| 084 | ▼a 006.3 ▼2 DDCK | |
| 090 | ▼a 006.3 ▼b V728d | |
| 100 | 1 | ▼a Ville, Barry De. |
| 245 | 1 0 | ▼a Decision trees for analytics : ▼b using SAS Enterprise Miner / ▼c Barry de Ville and Padraic Neville. |
| 260 | ▼a Cary, N.C. : ▼b SAS Institute, ▼c c2013. | |
| 300 | ▼a xviii, 249 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a "An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner"--Back cover. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 630 | 0 0 | ▼a SAS (Computer file). |
| 650 | 0 | ▼a Data mining ▼x Computer programs. |
| 650 | 0 | ▼a Decision trees ▼x Computer programs. |
| 650 | 0 | ▼a Business intelligence ▼x Computer programs. |
| 650 | 0 | ▼a Forecasting ▼x Computer programs. |
| 650 | 0 | ▼a Regression analysis. |
| 700 | 1 | ▼a Neville, Padraic. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.3 V728d | 등록번호 111760558 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy-to-access place. This book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements data mining approaches such as regression, as well as other business intelligence applications that incorporate tabular reports, OLAP, or multidimensional cubes. An expanded and enhanced release of Decision Trees for Business Intelligence and Data Mining Using SAS Enterprise Miner, this book adds up-to-date treatments of boosting and high-performance forest approaches and rule induction. There is a dedicated section on the most recent findings related to bias reduction in variable selection. It provides an exhaustive treatment of the end-to-end process of decision tree construction and the respective considerations and algorithms, and it includes discussions of key issues in decision tree practice. Analysts who have an introductory understanding of data mining and who are looking for a more advanced, in-depth look at the theory and methods of a decision tree approach to business intelligence and data mining will benefit from this book.SAS Products and Releases: SAS Enterprise Miner SAS/STAT: 9.3_M1, 9.3, 9.22, 9.21_M1, 9.21, 9.2, 9.1.3, 9.1.2, 9.1, 9.0 Operating Systems: All
정보제공 :
저자소개
Barry de Ville(지은이)
데이터 마이닝 솔루션 개발자인 그는 Knowledge SEEKER라는 제품을 제작했다. 현재 SAS사 CRM 관리자로 있으며 <Integrating Business Intelligence for E-Commerce and Knowledge Management>의 저자이다.
Padraic Neville(지은이)