메뉴 건너뛰기




Volumn , Issue , 2001, Pages 89-98

Analyzing quantitative databases: Image is everything

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; IMAGE PROCESSING;

EID: 34347358023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (26)
  • 9
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • May
    • R. M. Haralick. Statistical and structural approaches to texture. Proceedings of the IEEE, 67(5):786-804, May 1979.
    • (1979) Proceedings of the IEEE , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.M.1
  • 16
    • 0030383267 scopus 로고    scopus 로고
    • Visualization techniques for mining large databases: A comparison
    • Dec.
    • D. A. Keim and H-. P. Kriegel. Visualization techniques for mining large databases: A comparison. IEEE Trans, on Knowledge and Data Engineering, 8(6):923-938, Dec. 1996.
    • (1996) IEEE Trans, on Knowledge and Data Engineering , vol.8 , Issue.6 , pp. 923-938
    • Keim, D.A.1    Kriegel, H.-P.2
  • 17
    • 0028203165 scopus 로고
    • Supporting data mining of large databases by visual feedback queries
    • Houston, TX
    • D. A. Keim, H-. P. Kriegel, and T. Seidl. Supporting data mining of large databases by visual feedback queries. In Proc. 10th Data Engineering, pages 302 303, Houston, TX, 1994.
    • (1994) Proc. 10th Data Engineering , pp. 302-303
    • Keim, D.A.1    Kriegel, H.-P.2    Seidl, T.3
  • 20
    • 0030157406 scopus 로고    scopus 로고
    • Improved histograms for selectivity estimation of range predicates
    • June
    • V. Poosala, Y. Ioannidis, P. Haas, and E. Shekita. Improved histograms for selectivity estimation of range predicates. In Proc. of ACM SIGMOD Conf. pages 294 305, June 1996.
    • (1996) Proc. of ACM SIGMOD Conf. , pp. 294-305
    • Poosala, V.1    Ioannidis, Y.2    Haas, P.3    Shekita, E.4
  • 21
    • 0031675159 scopus 로고    scopus 로고
    • Mining optimized association rules with categorical and numeric attributes
    • R. Rastogi and K. Shim. Mining optimized association rules with categorical and numeric attributes. In Proc. of the 14th Int'l Conf. on Data Engineering, pages 503 512, 1998.
    • (1998) Proc. of the 14th Int'l Conf. on Data Engineering , pp. 503-512
    • Rastogi, R.1    Shim, K.2
  • 24
    • 0002880407 scopus 로고
    • Mining generalized association rules
    • Zurich, Switzerland, Sept
    • R. Srikant and R. Agrawal. Mining generalized association rules. In Proc. 21st Int'l Conf. on VLDB, Zurich, Switzerland, Sept 1995.
    • (1995) Proc. 21st Int'l Conf. on VLDB
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.