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Maximizing Insight from Modern Economic Analysis
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Antenucci, Dolan. |
| 단체저자명 | University of Michigan. Computer Science and Engineering. |
| 서명/저자사항 | Maximizing Insight from Modern Economic Analysis. |
| 발행사항 | [S.l.] : University of Michigan., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 186 p. |
| 소장본 주기 | School code: 0127. |
| ISBN | 9780438127180 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Michael John Cafarella. |
| 요약 | The last decade has seen a growing trend of economists exploring how to extract different economic insight from "big data" sources such as the Web. As economists move towards this model of analysis, their traditional workflow starts to become in |
| 요약 | This dissertation presents several systems and methodologies that bring economists closer to this ideal workflow, helping them address many of the challenges faced in transitioning to working with big data sources like the Web. To help users gen |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000606 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00025222 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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