Data science using Oracle Data Miner and Oracle R Enterprise [electronic resource] : transform your business systems into an analytical powerhouse
| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046016771 | |
| 005 | 20200226135745 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200212s2016 caua ob 001 0 eng d | |
| 020 | ▼a 9781484226148 (e-book) | |
| 020 | ▼a 9781484226131 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 0 0 | ▼a QA76.9.D343 |
| 082 | 0 4 | ▼a 006.312 ▼2 23 |
| 084 | ▼a 006.312 ▼2 DDCK | |
| 090 | ▼a 006.312 | |
| 100 | 1 | ▼a Das, Sibanjan. |
| 245 | 1 0 | ▼a Data science using Oracle Data Miner and Oracle R Enterprise ▼h [electronic resource] : ▼b transform your business systems into an analytical powerhouse / ▼c Sibanjan Das. |
| 260 | ▼a Berkeley, CA : ▼b Apress, ▼c c2016. | |
| 300 | ▼a 1 online resource (xxii, 289 p.) : ▼b ill. (some col.). | |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Introduction Chapter 1 : Getting Started with Oracle Advanced Analytics -- Chapter 2 : Installation and Hello World -- Chapter 3: Clustering Methods -- Chapter 4: Association Rules -- Chapter 5: Regression Analysis -- Chapter 6: Classification Techniques -- Chapter 7: Advanced Topics -- Chapter 8: Solution Deployment. |
| 520 | ▼a Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Data mining. |
| 650 | 0 | ▼a Computer science. |
| 650 | 0 | ▼a Programming languages (Electronic computers). |
| 650 | 0 | ▼a Database management. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4842-2614-8 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.312 | 등록번호 E14019627 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |
