메뉴 건너뛰기




Volumn , Issue , 2016, Pages 906-917

Interactive data exploration with smart drill-down

Author keywords

[No Author keywords available]

Indexed keywords

DRILLS;

EID: 84980416413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2016.7498300     Document Type: Conference Paper
Times cited : (30)

References (39)
  • 1
    • 84980397345 scopus 로고    scopus 로고
    • http://statweb.stanford.edu/ tibs/ElemStatLearn/datasets/marketing.info.txt.
  • 3
    • 84877703682 scopus 로고    scopus 로고
    • Blinkdb: Queries with bounded errors and bounded response times on very large data
    • S. Agarwal, B. Mozafari, A. Panda, H. Milner, S. Madden, and I. Stoica. Blinkdb: Queries with bounded errors and bounded response times on very large data. In EuroSys, pages 29-42, 2013.
    • (2013) EuroSys , pp. 29-42
    • Agarwal, S.1    Mozafari, B.2    Panda, A.3    Milner, H.4    Madden, S.5    Stoica, I.6
  • 4
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In VLDB, pages 487-499, 1994.
    • (1994) VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 8
    • 49749149150 scopus 로고    scopus 로고
    • The chosen few: On identifying valuable patterns
    • B. Bringmann, L. Katholieke, and A. Zimmermann. The chosen few: On identifying valuable patterns. In ICDM, 2007.
    • (2007) ICDM
    • Bringmann, B.1    Katholieke, L.2    Zimmermann, A.3
  • 9
    • 33745634667 scopus 로고    scopus 로고
    • Mdl summarization with holes
    • S. Bu, L. V. S. Lakshmanan, and R. T. Ng. Mdl summarization with holes. In VLDB, pages 433-444, 2005.
    • (2005) VLDB , pp. 433-444
    • Bu, S.1    Lakshmanan, L.V.S.2    Ng, R.T.3
  • 10
    • 70349156149 scopus 로고    scopus 로고
    • Alphasum: Sizeconstrained table summarization using value lattices
    • K. S. Candan, H. Cao, Y. Qi, and M. L. Sapino. Alphasum: sizeconstrained table summarization using value lattices. In EDBT, pages 96-107, 2009.
    • (2009) EDBT , pp. 96-107
    • Candan, K.S.1    Cao, H.2    Qi, Y.3    Sapino, M.L.4
  • 13
  • 16
    • 70349846180 scopus 로고    scopus 로고
    • On generating near-optimal tableaux for conditional functional dependencies
    • L. Golab, H. Karloff, F. Korn, D. Srivastava, and B. Yu. On generating near-optimal tableaux for conditional functional dependencies. Proc. VLDB Endow., pages 376-390, 2008.
    • (2008) Proc. VLDB Endow. , pp. 376-390
    • Golab, L.1    Karloff, H.2    Korn, F.3    Srivastava, D.4    Yu, B.5
  • 17
    • 84871079115 scopus 로고    scopus 로고
    • Efficient and effective analysis of data quality using pattern tableaux
    • L. Golab, F. Korn, and D. Srivastava. Efficient and effective analysis of data quality using pattern tableaux. IEEE Data Eng. Bull., 34(3):26-33, 2011.
    • (2011) IEEE Data Eng. Bull. , vol.34 , Issue.3 , pp. 26-33
    • Golab, L.1    Korn, F.2    Srivastava, D.3
  • 18
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In SIGMOD, pages 1-12, 2000.
    • (2000) SIGMOD , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 20
    • 84953923956 scopus 로고    scopus 로고
    • Smart drilldown: A new data exploration operator
    • M. Joglekar, H. Garcia-Molina, and A. G. Parameswaran. Smart drilldown: A new data exploration operator. PVLDB, 8(12):1928-1939, 2015.
    • (2015) PVLDB , vol.8 , Issue.12 , pp. 1928-1939
    • Joglekar, M.1    Garcia-Molina, H.2    Parameswaran, A.G.3
  • 22
    • 84857167552 scopus 로고    scopus 로고
    • The researcher's guide to the data deluge: Querying a scientific database in just a few seconds
    • M. L. Kersten, S. Idreos, S. Manegold, and E. Liarou. The researcher's guide to the data deluge: Querying a scientific database in just a few seconds. In VLDB'11, 2011.
    • (2011) VLDB'11
    • Kersten, M.L.1    Idreos, S.2    Manegold, S.3    Liarou, E.4
  • 25
    • 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 KDD, pages 573-581, 2011.
    • (2011) KDD , pp. 573-581
    • Mampaey, M.1    Tatti, N.2    Vreeken, J.3
  • 27
    • 0031162287 scopus 로고    scopus 로고
    • Association rules over interval data
    • R. J. Miller and Y. Yang. Association rules over interval data. In SIGMOD, pages 452-461, 1997.
    • (1997) SIGMOD , pp. 452-461
    • Miller, R.J.1    Yang, Y.2
  • 28
    • 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
  • 29
    • 0035486492 scopus 로고    scopus 로고
    • User-cognizant multidimensional analysis
    • S. Sarawagi. User-cognizant multidimensional analysis. The VLDB Journal, pages 224-239, 2001.
    • (2001) The VLDB Journal , pp. 224-239
    • Sarawagi, S.1
  • 30
    • 84890506262 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. In EDBT, pages 168-182, 1998.
    • (1998) EDBT , pp. 168-182
    • Sarawagi, S.1    Agrawal, R.2    Megiddo, N.3
  • 31
    • 85084014066 scopus 로고    scopus 로고
    • Meet charles, big data query advisor
    • T. Sellam and M. L. Kersten. Meet charles, big data query advisor. In CIDR'13, pages-1-1, 2013.
    • (2013) CIDR'13 , pp. 1
    • Sellam, T.1    Kersten, M.L.2
  • 33
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • R. Srikant and R. Agrawal. Mining quantitative association rules in large relational tables. In SIGMOD, pages 1-12, 1996.
    • (1996) SIGMOD , pp. 1-12
    • Srikant, R.1    Agrawal, R.2
  • 35
    • 0022026217 scopus 로고
    • Random sampling with a reservoir
    • J. S. Vitter. Random sampling with a reservoir. ACM Trans. Math. Softw., pages 37-57, 1985.
    • (1985) ACM Trans. Math. Softw. , pp. 37-57
    • Vitter, J.S.1
  • 38
    • 65449190237 scopus 로고    scopus 로고
    • Succinct summarization of transactional databases: An overlapped hyperrectangle scheme
    • Y. Xiang, R. Jin, D. Fuhry, and F. F. Dragan. Succinct summarization of transactional databases: An overlapped hyperrectangle scheme. In KDD, pages 758-766, 2008.
    • (2008) KDD , pp. 758-766
    • Xiang, Y.1    Jin, R.2    Fuhry, D.3    Dragan, F.F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.