| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000331915 |
| 005 | | 20241122093156 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438023963 |
| 035 | |
▼a (MiAaPQ)AAI10826564 |
| 035 | |
▼a (MiAaPQ)ucla:16848 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Schoeny, Clayton Maxwell. |
| 245 | 10 |
▼a Coding for Future Large-Scale Data Systems. |
| 260 | |
▼a [S.l.] :
▼b University of California, Los Angeles.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 149 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Lara Dolecek. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 520 | |
▼a This dissertation is focused on creating mathematical techniques---influenced by information theory and coding theory---to address the difficulties associated with storing, transmitting, and analyzing massive amounts of data. By necessity, memor |
| 520 | |
▼a The first part of the dissertation introduces Software-Defined Error-Correcting Codes: a framework for exploiting side-information to heuristically recover from detected (but uncorrectable) errors. The prominent features of this section include |
| 520 | |
▼a The coding theoretic techniques presented here, along with tools inspired by this dissertation, will play a significant role in mitigating errors in future large-scale data systems. |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Electrical engineering. |
| 690 | |
▼a 0544 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Electrical Engineering 0303. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998905
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |