| 000 | 01666camuu2200397 a 4500 | |
| 001 | 000045375998 | |
| 005 | 20070814091314 | |
| 008 | 070531s2006 ncua b 001 0 eng d | |
| 010 | ▼a 2007276353 | |
| 020 | ▼a 9781590475676 (pbk.) | |
| 020 | ▼a 1590475674 (pbk.) | |
| 024 | 3 1 | ▼a 9781590475676 |
| 035 | ▼a (OCoLC)ocm80187377 | |
| 035 | ▼a (OCoLC)80187377 | |
| 035 | ▼a (KERIS)REF000013166362 | |
| 040 | ▼a SA$ ▼c SA$ ▼d BAKER ▼d DLC ▼d 211009 | |
| 042 | ▼a lccopycat | |
| 050 | 0 0 | ▼a QA76.9.D343 ▼b D427 2006 |
| 082 | 0 4 | ▼a 006.3 ▼2 22 |
| 090 | ▼a 006.3 ▼b D278d | |
| 100 | 1 | ▼a De Ville, Barry. |
| 245 | 1 0 | ▼a Decision trees for business intelligence and data mining : ▼b using SAS Enterprise Miner / ▼c Barry de Ville. |
| 260 | ▼a Cary, NC : ▼b SAS Institute , ▼c c2006. | |
| 300 | ▼a xii, 224 p. : ▼b ill. ; ▼c 23 cm. | |
| 440 | 0 | ▼a SAS Press series |
| 504 | ▼a Includes bibliographical references (p. [211]-214) and index. | |
| 505 | 0 | ▼a Decision trees--what are they? -- Descriptive, predictive, and explanatory analyses -- The mechanics of decision tree construction -- Business intelligence and decision trees -- Theoretical issues in the decision tree growing process -- The integration of decision trees with other data mining approaches. |
| 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. |
| 710 | 2 | ▼a SAS Institute. ▼t SAS Press series. |
| 945 | ▼a KINS |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.3 D278d | 등록번호 121152102 (11회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Using SAS Enterprise Miner, this example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, 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 other business intelligence applications such as OLAP cubes; in addition, it explains other data mining approaches, like regression, cluster analysis, and neural networks. The book contains examples that illustrate how various aspects of decision trees are constructed, how they operate, how to interpret them, and how to use them in a range of predictive and descriptive applications. Many of the examples are drawn from purchase behavior, risk assessment, and business-to-business marketing. The target audience for this book includes analysts who already have an introductory understanding of data mining and who want to benefit from a more advanced, in-depth look at the theory and methods of a decision-tree approach to data mining and business intelligence.
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.