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Volumn , Issue , 1998, Pages 139-143

Independence Diagrams: A Technique for Visual Data Mining

Author keywords

Histogram; Scatter Plot; Two Dimensional; Visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA VISUALIZATION; GRAPHIC METHODS; STATISTICS;

EID: 84997903417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (18)
  • 1
    • 0039786349 scopus 로고
    • A One-Pass Space-Efficient Algorithm for Finding Quantiles
    • Agrawal, R., and Swami, A. 1995. A One-Pass Space-Efficient Algorithm for Finding Quantiles. Proceedings of COMAD.
    • (1995) Proceedings of COMAD
    • Agrawal, R.1    Swami, A.2
  • 2
    • 0027621699 scopus 로고
    • Mining Association Rules Between Sets of Items in Large Databases
    • Agrawal, R.; Imielinski, T.; and Swami, A. 1993. Mining Association Rules Between Sets of Items in Large Databases. Proceedings of ACM SIGMOD 207-216.
    • (1993) Proceedings of ACM SIGMOD , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 3
    • 84994126378 scopus 로고    scopus 로고
    • A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data
    • Alsabti, K.; Ranka, S.; and Singh, V. 1997. A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data. Proceedings of VLDB 346-355.
    • (1997) Proceedings of VLDB , pp. 346-355
    • Alsabti, K.1    Ranka, S.2    Singh, V.3
  • 4
    • 0000974551 scopus 로고
    • Plots of High-Dimensional Data
    • Andrews, D. 1972. Plots of High-Dimensional Data. Biometrics 29:125-136.
    • (1972) Biometrics , vol.29 , pp. 125-136
    • Andrews, D.1
  • 5
    • 72849151860 scopus 로고    scopus 로고
    • Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets
    • Ankerst, M.; Keim, D.; and Kriegel, H.-P. 1996. Circle Segments: A Technique for Visually Exploring Large Multidimensional Data Sets. Visualization '96.
    • (1996) Visualization '96
    • Ankerst, M.1    Keim, D.2    Kriegel, H.-P.3
  • 8
    • 0030156999 scopus 로고    scopus 로고
    • Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms and Visualization
    • Fukuda, T.; Morimoto, Y.; Morishita, S.; and Tokuyama, T. 1996. Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms and Visualization. Proceedings of ACM SIGMOD 13-23.
    • (1996) Proceedings of ACM SIGMOD , pp. 13-23
    • Fukuda, T.1    Morimoto, Y.2    Morishita, S.3    Tokuyama, T.4
  • 9
    • 84875668171 scopus 로고
    • The Plane with Parallel Coordinates, Special Issue on Computational Geometry
    • Inselberg, A. 1985. The Plane with Parallel Coordinates, Special Issue on Computational Geometry. The Visual Computer 1:29-97.
    • (1985) The Visual Computer , vol.1 , pp. 29-97
    • Inselberg, A.1
  • 10
    • 84976743126 scopus 로고
    • Balancing Histogram Optimality and Practicality for Query Result Size Estimation
    • Ioannidis, Y., and Poosala, V. 1995. Balancing Histogram Optimality and Practicality for Query Result Size Estimation. Proceedings of ACM SIGMOD 233¬ 244.
    • (1995) Proceedings of ACM SIGMOD , pp. 233-244
    • Ioannidis, Y.1    Poosala, V.2
  • 12
    • 0028203165 scopus 로고
    • Supporting Data Mining of Large Databases by Visual Feedback Queries
    • Keim, D.; Kriegel, H.; and Seidl, T. 1994. Supporting Data Mining of Large Databases by Visual Feedback Queries. Proceedings of ICDE 302-313.
    • (1994) Proceedings of ICDE , pp. 302-313
    • Keim, D.1    Kriegel, H.2    Seidl, T.3
  • 15
    • 84994070713 scopus 로고    scopus 로고
    • Selectivity Estimation Without the Attribute Value Independence Assumption
    • Poosala, V., and Ioannidis, Y. 1997. Selectivity Estimation Without the Attribute Value Independence Assumption. Proceedings of VLDB 486-495.
    • (1997) Proceedings of VLDB , pp. 486-495
    • Poosala, V.1    Ioannidis, Y.2
  • 17
    • 0030157416 scopus 로고    scopus 로고
    • Mining Quantitative Association Rules in Large Relational Tables
    • Srikant, R., and Agrawal, R. 1996. Mining Quantitative Association Rules in Large Relational Tables. Proceedings of ACM SIGMOD 1-12.
    • (1996) Proceedings of ACM SIGMOD , pp. 1-12
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.