자료유형 | E-Book |
---|---|
개인저자 | Yan, Rui. |
단체저자명 | Rensselaer Polytechnic Institute. Computer Science. |
서명/저자사항 | Enhancing Stream Reasoning by Modeling the Importance of the Streaming Data. |
발행사항 | [S.l.] : Rensselaer Polytechnic Institute., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 184 p. |
소장본 주기 | School code: 0185. |
ISBN | 9780438206533 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Deborah L. McGuinness. |
요약 | The requirement to extract the hidden information out of the data stream is rising, however, traditional stream processing systems cannot meet this requirement as they are not designed to do so. This gives birth to the new research domain of str |
요약 | Streaming data is boundless, enormous, and heterogeneous, which adds extra dimensions to the challenges of realizing the vision of stream reasoning, in addition to temporal constraints. A widely-adopted way to process the streams is via leveragi |
요약 | Streaming data intrinsically has many different orderings, such as temporarily, precision, provenance, and trust, etc. If diverse data orderings can be utilized to model the data importance, stream reasoning can be benefited by being data-discri |
요약 | Generally speaking, this dissertation delivers a conceptual model, and a set of infrastructure that can facilitate its general application in stream reasoning. Specifically, the first contribution is an innovative notion of semantic importance. |
일반주제명 | Computer science. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997364 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00026783 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |