메뉴 건너뛰기




Volumn 7, Issue 13, 2014, Pages 1581-1584

SEEDB: Automatically generating query visualizations

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSTS; LARGE VOLUMES; QUERY VISUALIZATIONS; REAL-WORLD DATASETS; TIME-CONSUMING TASKS;

EID: 84905822609     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/2733004.2733035     Document Type: Conference Paper
Times cited : (70)

References (12)
  • 2
    • 84872081761 scopus 로고    scopus 로고
    • [Online; accessed 3-March-2014].
    • Mimic ii database. [Online; accessed 3-March-2014].
    • Mimic ii database
  • 3
    • 84905839023 scopus 로고    scopus 로고
    • Tableau public. [Online; accessed 3-March-2014].
    • Tableau public. [Online; accessed 3-March-2014].
  • 4
    • 84905839024 scopus 로고    scopus 로고
    • [Online; accessed 3-March-2014].
    • Tableau superstore data. [Online; accessed 3-March-2014].
    • Tableau superstore data
  • 5
    • 77954733844 scopus 로고    scopus 로고
    • Google fusion tables: web-centered data management and collaboration
    • H. Gonzalez et al. Google fusion tables: web-centered data management and collaboration. In SIGMOD Conference, pages 1061-1066, 2010.
    • (2010) SIGMOD Conference , pp. 1061-1066
    • Gonzalez, H.1
  • 6
    • 0031167933 scopus 로고    scopus 로고
    • Devise: Integrated querying and visualization of large datasets
    • M. Livny et al. Devise: Integrated querying and visualization of large datasets. In SIGMOD Conference, pages 301-312, 1997.
    • (1997) SIGMOD Conference , pp. 301-312
    • Livny, M.1
  • 7
    • 35949001660 scopus 로고    scopus 로고
    • Show me: Automatic presentation for visual analysis
    • J. D. Mackinlay et al. Show me: Automatic presentation for visual analysis. IEEE Trans. Vis. Comput. Graph., 13(6):1137-1144, 2007.
    • (2007) IEEE Trans. Vis. Comput. Graph. , vol.13 , Issue.6 , pp. 1137-1144
    • Mackinlay, J.D.1
  • 8
    • 84896952015 scopus 로고    scopus 로고
    • Seedb: Visualizing database queries efciently
    • A. Parameswaran, N. Polyzotis, and H. Garcia-Molina. Seedb: Visualizing database queries efciently. In VLDB, volume 7, pages 325-328, 2013.
    • (2013) VLDB , vol.7 , pp. 325-328
    • Parameswaran, A.1    Polyzotis, N.2    Garcia-Molina, H.3
  • 9
    • 0012703526 scopus 로고    scopus 로고
    • Explaining differences in multidimensional aggregates
    • S. Sarawagi. Explaining differences in multidimensional aggregates. In VLDB, pages 42-53, 1999.
    • (1999) VLDB , pp. 42-53
    • Sarawagi, S.1
  • 10
    • 34250647666 scopus 로고    scopus 로고
    • User-adaptive exploration of multidimensional data
    • S. Sarawagi. User-adaptive exploration of multidimensional data. In VLDB, pages 307-316, 2000.
    • (2000) VLDB , pp. 307-316
    • Sarawagi, S.1
  • 11
    • 33646011194 scopus 로고    scopus 로고
    • Intelligent rollups in multidimensional olap data
    • G. Sathe and S. Sarawagi. Intelligent rollups in multidimensional olap data. In VLDB, pages 531-540, 2001.
    • (2001) VLDB , pp. 531-540
    • Sathe, G.1    Sarawagi, S.2
  • 12
    • 55149089114 scopus 로고    scopus 로고
    • Polaris: a system for query, analysis, and visualization of multidimensional databases
    • C. Stolte et al. Polaris: a system for query, analysis, and visualization of multidimensional databases. Commun. ACM, 51(11):75-84, 2008.
    • (2008) Commun. ACM , vol.51 , Issue.11 , pp. 75-84
    • Stolte, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.