| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000330424 |
| 005 | | 20241029174550 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438369047 |
| 035 | |
▼a (MiAaPQ)AAI10844881 |
| 035 | |
▼a (MiAaPQ)purdue:23221 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Pradhan, Romila. |
| 245 | 10 |
▼a Guided Data Fusion. |
| 260 | |
▼a [S.l.] :
▼b Purdue University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 126 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Sunil Prabhakar. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
| 520 | |
▼a While the volume and variety of data furnished by disparate data sources has rocketed over the years, often there is little to no restraint over the quality of data available on the Internet |
| 520 | |
▼a Recent years have witnessed a number of data fusion systems that propose solutions to consolidate multiple instances of a data item, distinguish correct from incorrect information and present a unified, consistent and meaningful record to users. |
| 520 | |
▼a The first challenge relates to integrating feedback from users to rapidly resolve conflicts. The objective is to effectively and efficiently integrate user feedback for maximum benefit to data fusion. For this purpose, we develop a novel framewo |
| 520 | |
▼a The second challenge relates to leveraging relations between claims of data items to identify multiple related correct claims. The objective is to recognize existing entity-relationships among claims and integrate them with data fusion systems t |
| 520 | |
▼a Our experimental evaluations using real-world and synthetic datasets demonstrate the effectiveness and efficiency of our proposed approaches to improve conflict resolution of data integrated from multiple sources. |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Purdue University.
▼b Computer Sciences. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000016
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |