메뉴 건너뛰기




Volumn 3268, Issue , 2004, Pages 536-546

Clustering Structured web sources: A schema-based, model-differentiation approach

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORICAL DATA; CLUSTERINGS; DEEP WEB; GENERATIVE MODEL; OBJECT DOMAINS; QUERY CAPABILITIES; QUERY MEDIATIONS; SOURCE SELECTION; STATISTICAL DISTRIBUTION; WEB SOURCES; HIERARCHICAL AGGLOMERATIVE CLUSTERING ALGORITHM; HYPOTHESIS TESTING; OBJECTIVE FUNCTIONS; STATISTICAL HETEROGENEITIES;

EID: 33747408995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30192-9_53     Document Type: Article
Times cited : (18)

References (20)
  • 1
    • 2442472862 scopus 로고    scopus 로고
    • Structured databases on the web: Observations and implications
    • Dept. of Computer Science, UIUC
    • K.C.C. Chang, B. He, C. Li, and Z. Zhang. Structured databases on the web: Observations and implications. Technical Report UIUCDCS-R-2003-2321, Dept. of Computer Science, UIUC, 2003.
    • (2003) Technical Report UIUCDCS-R-2003-2321
    • Chang, K.C.C.1    He, B.2    Li, C.3    Zhang, Z.4
  • 2
    • 0034228041 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • S. Guha, R. Rastogi, and K. Shim. ROCK: A robust clustering algorithm for categorical attributes. Information Systems, 25:345-366, 2000.
    • (2000) Information Systems , vol.25 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 5
    • 0027453616 scopus 로고
    • Model-based gaussian and non-gaussian clustering
    • J.D. Banfield and A.E. Raftery. Model-based gaussian and non-gaussian clustering. Biometrics, 49:803-321, 1993.
    • (1993) Biometrics , vol.49 , pp. 803-1321
    • Banfield, J.D.1    Raftery, A.E.2
  • 6
    • 0032131702 scopus 로고    scopus 로고
    • Algorithms for model-based Gaussian hierarchical clustering
    • C. Fraley. Algorithms for model-based Gaussian hierarchical clustering. SIAM Journal on Scientific Computing, 20:270-281, 1999.
    • (1999) SIAM Journal on Scientific Computing , vol.20 , pp. 270-281
    • Fraley, C.1
  • 7
    • 0003740921 scopus 로고    scopus 로고
    • An experimental comparison of several clustering and initialization methods
    • MSR-TR-98-06
    • M. Meila and D. Heckerman. An experimental comparison of several clustering and initialization methods. Technical report, Microsoft Research, MSR-TR-98-06, 1998.
    • (1998) Technical Report, Microsoft Research
    • Meila, M.1    Heckerman, D.2
  • 13
    • 0034133769 scopus 로고    scopus 로고
    • . Clustering categorical data: An approach based on dynamical systems
    • D. Gibson, J.M. Kleinberg, P. Raghavan. Clustering categorical data: An approach based on dynamical systems. VLDB Journal, 8:222-236, 1998.
    • (1998) VLDB Journal , vol.8 , pp. 222-236
    • Gibson, D.1    Kleinberg, J.M.2    Raghavan, P.3
  • 15
    • 18744364555 scopus 로고    scopus 로고
    • Clustering structured web sources: A schema-based, model-differentiation approach
    • Dept. of Computer Science, UIUC
    • B. He, T. Tao, and K.C.C. Chang. Clustering structured web sources: A schema-based, model-differentiation approach. Technical Report UIUCDCS-R-2003-2322, Dept. of Computer Science, UIUC, 2003.
    • (2003) Technical Report UIUCDCS-R-2003-2322
    • He, B.1    Tao, T.2    Chang, K.C.C.3
  • 20
    • 0442289065 scopus 로고    scopus 로고
    • Survey of clustering data mining techniques
    • Accrue Software
    • P. Berkhin. Survey of clustering data mining techniques. Technical report, Accrue Software, 2002.
    • (2002) Technical Report
    • Berkhin, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.