LDR | | 02141nmm uu200445 4500 |
001 | | 000000332527 |
005 | | 20240805170943 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438036444 |
035 | |
▼a (MiAaPQ)AAI10788077 |
035 | |
▼a (MiAaPQ)upenngdas:13167 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 621.3 |
100 | 1 |
▼a Huang, Weiyu. |
245 | 10 |
▼a Networked Data Analytics: Network Comparison and Applied Graph Signal Processing. |
260 | |
▼a [S.l.] :
▼b University of Pennsylvania.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 255 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Alejandro Ribeiro. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Pennsylvania, 2018. |
520 | |
▼a 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 |
520 | |
▼a 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 |
520 | |
▼a 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 |
590 | |
▼a School code: 0175. |
650 | 4 |
▼a Electrical engineering. |
650 | 4 |
▼a Statistics. |
650 | 4 |
▼a Mathematics. |
690 | |
▼a 0544 |
690 | |
▼a 0463 |
690 | |
▼a 0405 |
710 | 20 |
▼a University of Pennsylvania.
▼b Electrical and Systems Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0175 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997435
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |