| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000434733 |
| 005 | | 20200227102402 |
| 008 | | 200131s2020 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781392874592 |
| 035 | |
▼a (MiAaPQ)AAI27544154 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Cooper, Hal James. |
| 245 | 10 |
▼a Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System. |
| 260 | |
▼a [S.l.]:
▼b Columbia University.,
▼c 2020. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2020. |
| 300 | |
▼a 174 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B. |
| 500 | |
▼a Advisor: Iyengar, Garud N. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Columbia University, 2020. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 520 | |
▼a This thesis describes the development of the SmartGraph, an AI enabled graph database.The need for such a system has been independently recognized in the isolated fields of graphdatabases, graph computing, and computational graph deep learning systems, such as TensorFlow.Though prior works have investigated some relationships between these fields, we believe that theSmartGraph is the first system designed from conception to incorporate the most significant anduseful characteristics of each. Examples include the ability to store graph structured data, runanalytics natively on this data, and run gradient descent algorithms. It is the synergistic aspectsof combining these fields that provide the most novel results presented in this dissertation. Keyamong them is how the notion of "graph querying" as used in graph databases can be used to solvea problem that has plagued deep learning systems since their inception |
| 590 | |
▼a School code: 0054. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Operations research. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0796 |
| 710 | 20 |
▼a Columbia University.
▼b Operations Research. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-05B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0054 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2020 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494475
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |