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Volumn , Issue , 2010, Pages 377-380

Top-K aggregation queries over large networks

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATION OPERATION; AGGREGATION QUERIES; APPLICATION DOMAINS; ATTRIBUTE VALUES; BIOLOGICAL PATHWAYS; EDGE TRAVERSAL; EMPIRICAL RESULTS; FUNCTIONAL ASSOCIATIONS; IN-NETWORK; LARGE GRAPHS; LARGE NETWORKS; LARGE-SCALE NETWORK; NEIGHBORING NODES; PARTIAL DISTRIBUTIONS; PERSONALIZED RECOMMENDATION; PRUNING TECHNIQUES; RELATIONAL DATABASE; SOCIAL NETWORKS;

EID: 77952765716     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2010.5447863     Document Type: Conference Paper
Times cited : (20)

References (18)
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  • 5
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  • 6
    • 0039561510 scopus 로고    scopus 로고
    • Prefer: A system for the efficient execution of multi-parametric ranked queries
    • V. Hristidis, N. Koudas, Y. Papakonstantinou, and L. Ca. Prefer: A system for the efficient execution of multi-parametric ranked queries. In SIGMOD, pages 259-270, 2001.
    • (2001) SIGMOD , pp. 259-270
    • Hristidis, V.1    Koudas, N.2    Papakonstantinou, Y.3    Ca, L.4
  • 7
    • 85012120419 scopus 로고    scopus 로고
    • Supporting top-k join queries in relational databases
    • I. Ilyas, W. Aref, and A. Elmagarmid. Supporting top-k join queries in relational databases. In VLDB, pages 754-765, 2003.
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    • Ilyas, I.1    Aref, W.2    Elmagarmid, A.3
  • 10
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    • Ranksql: Query algebra and optimization for relational top-k queries
    • ACM Press
    • C. Li, K. C.-C. Chang, I. Ilyas, and S. Song. Ranksql: Query algebra and optimization for relational top-k queries. In SIGMOD, pages 131-142. ACM Press, 2005.
    • (2005) SIGMOD , pp. 131-142
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  • 14
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    • The structure of scientific collaboration networks
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    • Newman, M.1
  • 18
    • 0141652193 scopus 로고    scopus 로고
    • Efficient maintenance of materialized top-k views
    • K. Yi, H. Yu, J. Yang, G. Xia, and Y. Chen. Efficient maintenance of materialized top-k views. In ICDE, pages 189-200, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.