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A Multifaceted Approach to Improving the Practicality of Structural Graph Algorithms
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | A Multifaceted Approach to Improving the Practicality of Structural Graph Algorithms. |
| 개인저자 | O'Brien, Michael Patrick. |
| 단체저자명 | North Carolina State University. Computer Science. |
| 발행사항 | [S.l.]: North Carolina State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 147 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438283879 |
| 학위논문주기 | Thesis (Ph.D.)--North Carolina State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Blair D. Sullivan. |
| 요약 | Graph algorithms have become an integral part of modern data analytics, but existing approaches have struggled to scale to increasing network sizes. The theoretical computer science community has a rich history of research that circumvents these |
| 요약 | This dissertation focuses on alleviating practical barriers to the use of structural graph algorithms in large-scale data analytics, addressing problems on multiple different fronts. First, we show that some structural features can still be iden |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
