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Volumn , Issue , 2008, Pages 169-176

Adaptive quality recommendation mechanism for software service provisioning

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; WORLD WIDE WEB;

EID: 57749186659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWS.2008.120     Document Type: Conference Paper
Times cited : (4)

References (18)
  • 1
    • 35048819567 scopus 로고    scopus 로고
    • A Clustering Method for Symbolic Interval-Type Data Using Adaptive Chebyshev Distances
    • F. Carvalho, R. Souza, and F. Silva, "A Clustering Method for Symbolic Interval-Type Data Using Adaptive Chebyshev Distances." Proceedings of SBIA, 2004, pp. 266-275.
    • (2004) Proceedings of SBIA , pp. 266-275
    • Carvalho, F.1    Souza, R.2    Silva, F.3
  • 2
    • 28044438528 scopus 로고    scopus 로고
    • Adaptive Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data
    • F. Carvalho, R. Souza, M. Chavent, and Y. Lechevallier, "Adaptive Hausdorff Distances and Dynamic Clustering of Symbolic Interval Data," Pattern Recognition Letters, 27(3), 2006, pp. 167-179.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.3 , pp. 167-179
    • Carvalho, F.1    Souza, R.2    Chavent, M.3    Lechevallier, Y.4
  • 3
    • 33750709636 scopus 로고    scopus 로고
    • A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance
    • F. Carvalho, "A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance," Proceedings of ICONIP (3), 2006, pp. 1012-1021.
    • (2006) Proceedings of ICONIP (3) , pp. 1012-1021
    • Carvalho, F.1
  • 4
    • 33845495645 scopus 로고    scopus 로고
    • Fuzzy c-Means Clustering Methods for Symbolic Interval Data
    • F. Carvalho, "Fuzzy c-Means Clustering Methods for Symbolic Interval Data," Pattern Recognition Letters, 28(4), 2007, pp. 423-437.
    • (2007) Pattern Recognition Letters , vol.28 , Issue.4 , pp. 423-437
    • Carvalho, F.1
  • 6
    • 0012393548 scopus 로고    scopus 로고
    • Dynamical Clustering Algorithm of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance
    • Sokolowsky, Bock, H.H, Eds, Springer-Verlag, Heidelberg
    • M. Chavent, and Y. Lechevallier, "Dynamical Clustering Algorithm of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance," In: Sokolowsky, Bock, H.H. (Eds.), Classification, Clustering and Data Analysis, Springer-Verlag, Heidelberg. 2002, pp. 53-59.
    • (2002) Classification, Clustering and Data Analysis , pp. 53-59
    • Chavent, M.1    Lechevallier, Y.2
  • 12
    • 0346724786 scopus 로고    scopus 로고
    • Clustering of Interval Data Based on City-Block Distances Source
    • Feb
    • R. Souza, and F. Carvalho, "Clustering of Interval Data Based on City-Block Distances Source," Pattern Recognition Letters, Vol.25, Issue 3, Feb. 2004, pp. 353-365.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.3 , pp. 353-365
    • Souza, R.1    Carvalho, F.2
  • 13
    • 35048881069 scopus 로고    scopus 로고
    • Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances
    • R. Souza, F. Carvalho, and F. Silva, "Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances," Proceedings of ICONIP 2004, pp. 775-780.
    • (2004) Proceedings of ICONIP , pp. 775-780
    • Souza, R.1    Carvalho, F.2    Silva, F.3
  • 14
    • 22944492394 scopus 로고    scopus 로고
    • Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances
    • R. Souza, F. Carvalho, and C. Tenorio, "Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances," Proceedings of IBERAMIA 2004, pp. 454-463.
    • (2004) Proceedings of IBERAMIA , pp. 454-463
    • Souza, R.1    Carvalho, F.2    Tenorio, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.