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Machine Learning: A Potential Forecasting Tool
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Banga, Jasdeep Singh. |
| 단체저자명 | Oklahoma State University. Agricultural Economics. |
| 서명/저자사항 | Machine Learning: A Potential Forecasting Tool. |
| 발행사항 | [S.l.] : Oklahoma State University., 2017 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2017 |
| 형태사항 | 69 p. |
| 소장본 주기 | School code: 0664. |
| ISBN | 9780438090231 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: A.
Adviser: B. Wade Brorsen. |
| 요약 | Technical analysis involves predicting asset price movements from analysis of historical prices. Many studies have been conducted to determine the profitability of technical analysis. A composite prediction is considered here by using the buy an |
| 요약 | None of the individual indicators or machine learning models generate significant profit in single day forecasts. In twenty-day forecasts, only random forest and pipeline models are profitable. Neural networks and statistical models both failed |
| 일반주제명 | Agricultural economics. Finance. Economics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-11A(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14996750 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024371 | DP 338 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
|
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