메뉴 건너뛰기




Volumn , Issue , 2007, Pages 229-236

Practical preference relations for large data sets

Author keywords

[No Author keywords available]

Indexed keywords

DATA ENGINEERING; DECLARATIVE SPECIFICATION; INDEX STRUCTURES; INTERNATIONAL CONFERENCES; LARGE DATA SETS; PARTIAL ORDERS; PREFERENCE QUERIES; PREFERENCE RELATIONS; QUERY RESULTS; TRANSITIVE CLOSURES; USER PREFERENCES;

EID: 48349096156     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDEW.2007.4400997     Document Type: Conference Paper
Times cited : (1)

References (14)
  • 1
    • 0040438358 scopus 로고    scopus 로고
    • A framework for expressing and combining preferences
    • R. Agrawal and E. L. Wimmers. A framework for expressing and combining preferences. In SIGMOD Conference, 2000.
    • (2000) SIGMOD Conference
    • Agrawal, R.1    Wimmers, E.L.2
  • 3
    • 3142632034 scopus 로고    scopus 로고
    • Preference formulas in relational queries
    • J. Chomicki. Preference formulas in relational queries. ACM Trans. Database Syst., 28(4), 2003.
    • (2003) ACM Trans. Database Syst , vol.28 , Issue.4
    • Chomicki, J.1
  • 4
    • 0038078125 scopus 로고    scopus 로고
    • R. Fagin, R. Kumar, and D. Sivakumar. Comparing top k lists. In SODA, 2003.
    • R. Fagin, R. Kumar, and D. Sivakumar. Comparing top k lists. In SODA, 2003.
  • 5
    • 0038504811 scopus 로고    scopus 로고
    • Optimal aggregation algorithms for middleware
    • R. Fagin, A. Lotem, and M. Naor. Optimal aggregation algorithms for middleware. JCSS, 66(4):614-656, 2003.
    • (2003) JCSS , vol.66 , Issue.4 , pp. 614-656
    • Fagin, R.1    Lotem, A.2    Naor, M.3
  • 6
    • 0001385606 scopus 로고    scopus 로고
    • A formula for incorporating weights into scoring rules
    • R. Fagin and E. L. Wimmers. A formula for incorporating weights into scoring rules. Theor. Comput. Sci., 239(2):309-338, 2000.
    • (2000) Theor. Comput. Sci , vol.239 , Issue.2 , pp. 309-338
    • Fagin, R.1    Wimmers, E.L.2
  • 8
    • 4043126187 scopus 로고    scopus 로고
    • Foundations of preferences in database systems
    • W. Kießling. Foundations of preferences in database systems. In VLDB, 2002.
    • (2002) VLDB
    • Kießling, W.1
  • 9
    • 9444283188 scopus 로고    scopus 로고
    • Preference SQL - design, implementation, experiences
    • W. Kießling and G. Kösller. Preference SQL - design, implementation, experiences. In VLDB, pages 990-1001, 2002.
    • (2002) VLDB , pp. 990-1001
    • Kießling, W.1    Kösller, G.2
  • 10
    • 0003780986 scopus 로고    scopus 로고
    • The pagerank citation ranking: Bringing order to the web
    • Technical report, Stanford Digital Library Technologies Project
    • L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.
    • (1998)
    • Page, L.1    Brin, S.2    Motwani, R.3    Winograd, T.4
  • 12
    • 85010847034 scopus 로고
    • The K-D-B-tree: A search structure for large multidimensional dynamic indexes
    • New York, NY, USA, ACM Press
    • J. T. Robinson. The K-D-B-tree: a search structure for large multidimensional dynamic indexes. In SIGMOD Conference, pages 10-18, New York, NY, USA, 1981. ACM Press.
    • (1981) SIGMOD Conference , pp. 10-18
    • Robinson, J.T.1
  • 13
    • 52749096089 scopus 로고    scopus 로고
    • On the adequacy of partial orders for preference composition
    • K. A. Ross. On the adequacy of partial orders for preference composition. In DBRank, 2007.
    • (2007) DBRank
    • Ross, K.A.1
  • 14
    • 48349146504 scopus 로고    scopus 로고
    • Practical preference relations for large data sets
    • Technical Report CUCS-028-06, Columbia University, Available at
    • K. A. Ross, P. J. Stuckey, and A. Marian. Practical preference relations for large data sets. Technical Report CUCS-028-06, Columbia University, 2006. Available at http://mice.cs.columbia.edu/research/publications.
    • (2006)
    • Ross, K.A.1    Stuckey, P.J.2    Marian, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.