자료유형 | E-Book |
---|---|
개인저자 | Rezig, Elkindi. |
단체저자명 | Purdue University. Computer Sciences. |
서명/저자사항 | Online Data Cleaning. |
발행사항 | [S.l.] : Purdue University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 140 p. |
소장본 주기 | School code: 0183. |
ISBN | 9780438371583 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Advisers: Walid G. Aref |
요약 | Data-centric applications have never been more ubiquitous in our lives, e.g., search engines, route navigation and social media. This has brought along a new age where digital data is at the core of many decisions we make as individuals, e.g., l |
요약 | Dirty data is the product of many factors which include data entry errors and integration of several data sources. Data integration of multiple sources is especially prone to producing dirty data. For instance, while individual sources may not h |
요약 | There is a wide spectrum of errors that can be found in the data, e,g, duplicate records, missing values, obsolete data, etc. To address these problems, several data cleaning efforts have been proposed, e.g., record linkage to identify duplicate |
요약 | We first present a framework that supports online record linkage and fusion over Web databases. Our system processes queries posted to Web databases. Query results are deduplicated, fused and then stored in a cache for future reference. The cach |
요약 | To address integrity constraints violations, we propose a novel way to approach Functional Dependency repairs, develop a new class of repairs and then demonstrate it is superior to existing efforts, in runtime and accuracy. We then show how our |
일반주제명 | Computer science. Engineering. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International80-02B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15000062 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00024797 | DP 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |