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Volumn 1, Issue 2, 2008, Pages 1289-1300

Relational support for flexible schema scenarios

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL STORAGE; ENGINES; QUERY PROCESSING;

EID: 70849114899     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1454159.1454169     Document Type: Article
Times cited : (12)

References (20)
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  • 2
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  • 3
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    • Extending RDBMSs to support sparse datasets using an interpreted attribute storage format
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    • J. L. Beckmann, A. Halverson, R. Krishnamurthy, and J. F. Naughton. Extending RDBMSs to support sparse datasets using an interpreted attribute storage format. In ICDE, page 58, Washington, DC, USA, 2006. IEEE Computer Society.
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  • 6
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    • The case for a wide-table approach to manage sparse relational data sets
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    • E. Chu, J. Beckmann, and J. Naughton. The case for a wide-table approach to manage sparse relational data sets. In SIGMOD, pages 821-832, New York, NY, USA, 2007. ACM Press.
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    • Chu, E.1    Beckmann, J.2    Naughton, J.3
  • 7
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    • Galindo-Legaria. Pivot and unpivot: Optimization and execution strategies in an RDBMS
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  • 8
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    • A relational approach to incrementally extracting and querying structure in unstructured data
    • Xiaoyong Chai, AnHai Doan, Jeffrey F. Naughton, Eric Chu, Akanksha Baid. A relational approach to incrementally extracting and querying structure in unstructured data. In VLDB, pages 1045-1056, 2007.
    • (2007) VLDB , pp. 1045-1056
    • Chai, X.1    Doan, A.2    Naughton, J.F.3    Chu, E.4    Baid, A.5
  • 10
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    • Query processing for sql updates
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  • 11
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.