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Networked Data Analytics: Network Comparison and Applied Graph Signal Processing
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Networked Data Analytics: Network Comparison and Applied Graph Signal Processing. |
| 개인저자 | Huang, Weiyu. |
| 단체저자명 | University of Pennsylvania. Electrical and Systems Engineering. |
| 발행사항 | [S.l.]: University of Pennsylvania., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 255 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438036444 |
| 학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Alejandro Ribeiro. |
| 요약 | Networked data structures has been getting big, ubiquitous, and pervasive. As our day-to-day activities become more incorporated with and influenced by the digital world, we rely more on our intuition to provide us a high-level idea and subconsc |
| 요약 | We show that in order to formalize the intuitive idea to measure the difference between a pair of networks of arbitrary sizes, we could design two algorithms based on the intuition to find mappings between the node sets or to map one network int |
| 요약 | In the context of data analytics on top of networks, we design domain-specific tools by leveraging the recent advances in graph signal processing, which formalizes the intuitive notion of smoothness and variation of signals defined on top of net |
| 일반주제명 | Electrical engineering. Statistics. Mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
