자료유형  

 학위논문

Control Number  

0014997364

International Standard Book Number  

9780438206533

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Yan, Rui.

Publication, Distribution, etc. (Imprint  

[Sl] : Rensselaer Polytechnic Institute, 2018

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2018

Physical Description  

184 p

General Note  

Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.

General Note  

Adviser: Deborah L. McGuinness.

Dissertation Note  

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.

Summary, Etc.  

요약The 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

Summary, Etc.  

요약Streaming 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

Summary, Etc.  

요약Streaming 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

Summary, Etc.  

요약Generally 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.

Subject Added Entry-Topical Term  

Computer science

Added Entry-Corporate Name  

Rensselaer Polytechnic Institute Computer Science

Host Item Entry  

Dissertation Abstracts International. 79-12B(E).

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:555638