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Volumn , Issue , 2013, Pages

Meet Charles, big data query advisor

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; DATA MINING; INFORMATION MANAGEMENT;

EID: 85084014066     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (21)
  • 2
    • 0032090765 scopus 로고    scopus 로고
    • Automatic subspace clustering of high dimensional data for data mining applications
    • R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data for data mining applications. SIGMOD Rec., 1998.
    • (1998) SIGMOD Rec
    • Agrawal, R.1    Gehrke, J.2    Gunopulos, D.3    Raghavan, P.4
  • 5
    • 79953891628 scopus 로고    scopus 로고
    • Query recommendations for interactive database exploration
    • G. Chatzopoulou, M. Eirinaki, and N. Polyzotis. Query recommendations for interactive database exploration. In SSDBM, 2009.
    • (2009) SSDBM
    • Chatzopoulou, G.1    Eirinaki, M.2    Polyzotis, N.3
  • 8
    • 0000550189 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • M. Ester, H. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In SIGKDD, 1996.
    • (1996) SIGKDD
    • Ester, M.1    Kriegel, H.2    Sander, J.3    Xu, X.4
  • 12
    • 80052675183 scopus 로고    scopus 로고
    • Tell me what i need to know: Succinctly summarizing data with itemsets
    • M. Mampaey, N. Tatti, and J. Vreeken. Tell me what i need to know: succinctly summarizing data with itemsets. In SIGKDD, 2011.
    • (2011) SIGKDD
    • Mampaey, M.1    Tatti, N.2    Vreeken, J.3
  • 13
    • 79957825995 scopus 로고    scopus 로고
    • Database architecture evolution: Mammals flourished long before dinosaurs became extinct
    • S. Manegold, M. Kersten, and P. Boncz. Database architecture evolution: mammals flourished long before dinosaurs became extinct. Proc. VLDB endow., 2009.
    • (2009) Proc. VLDB Endow.
    • Manegold, S.1    Kersten, M.2    Boncz, P.3
  • 15
    • 17044376078 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional data: A review
    • L. Parsons, E. Haque, and H. Liu. Subspace clustering for high dimensional data: a review. SIGKDD Expl., 2004.
    • (2004) SIGKDD Expl
    • Parsons, L.1    Haque, E.2    Liu, H.3
  • 16
    • 67649646359 scopus 로고    scopus 로고
    • Dynacet: Building dynamic faceted search systems over databases
    • S. Roy, H. Wang, U. Nambiar, G. Das, and M. Mohania. Dynacet: Building dynamic faceted search systems over databases. In ICDE, 2009.
    • (2009) ICDE
    • Roy, S.1    Wang, H.2    Nambiar, U.3    Das, G.4    Mohania, M.5
  • 17
    • 0000994889 scopus 로고    scopus 로고
    • Discovery-driven exploration of olap data cubes
    • S. Sarawagi, R. Agrawal, and N. Megiddo. Discovery-driven exploration of olap data cubes. EDBT, 1998.
    • (1998) EDBT
    • Sarawagi, S.1    Agrawal, R.2    Megiddo, N.3
  • 20
    • 35449000164 scopus 로고    scopus 로고
    • Towards keyword-driven analytical processing
    • Y. Wu P., Sismanis and B. Reinwald. Towards keyword-driven analytical processing. In Proc. SIGMOD, 2007.
    • (2007) Proc. SIGMOD
    • Wu, Y.1    Sismanis2    Reinwald, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.