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Volumn , Issue , 2007, Pages 10-17

An efficient distance calculation method for uncertain objects

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATIONAL METHODS; COST EFFECTIVENESS; DATA MINING; DATA STRUCTURES; DATABASE SYSTEMS;

EID: 34548794430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2007.368846     Document Type: Conference Paper
Times cited : (27)

References (16)
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    • Aggregate operators in probabilistic databases
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    • Robert Ross, V.S.S.1    Grant, J.2
  • 9
    • 0038967918 scopus 로고    scopus 로고
    • Probabilistic temporal databases, i: Algebra
    • Alex Dekhtyar, Robert Ross, and V. S. Subrahinanian, "Probabilistic temporal databases, i: algebra.," ACM Trans. Database Syst., vol. 26, no. 1, pp. 41-95, 2001.
    • (2001) ACM Trans. Database Syst , vol.26 , Issue.1 , pp. 41-95
    • Dekhtyar, A.1    Ross, R.2    Subrahinanian, V.S.3
  • 11
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    • Protdb: Probabilistic data in XML
    • Andrew Nierman and H. V. Jagadish, "Protdb: Probabilistic data in XML.," in VLDB. 2002, pp. 646-657.
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  • 12
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    • PXML: A probabilistic semistructured data model and algebra
    • Edward Hung, Lise Getoor, and V. S. Subrahmanian, "PXML: A probabilistic semistructured data model and algebra.," in ICDE, 2003, pp. 467-478.
    • (2003) ICDE , pp. 467-478
    • Hung, E.1    Getoor, L.2    Subrahmanian, V.S.3
  • 14
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    • Renata M. C. R. de Souza and Francisco de A. T. de Carvalho, Clustering of interval data based on city-block distances., Pattern Recognition Letters, 25, no. 3, pp. 353-365, 2004.
    • Renata M. C. R. de Souza and Francisco de A. T. de Carvalho, "Clustering of interval data based on city-block distances.," Pattern Recognition Letters, vol. 25, no. 3, pp. 353-365, 2004.
  • 15
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    • Probabilistic similarity join on uncertain data
    • Hans-Peter Kriegel, Peter Kunath. Martin Pfeifle, and Matthias Renz, "Probabilistic similarity join on uncertain data.," in DASFAA. 2006. pp. 295-309.
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    • Wikipedia
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.