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Volumn 6, Issue , 2002, Pages 245-250

A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; CURVE FITTING; DATA REDUCTION; INTERNET; LEARNING SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; PROBLEM SOLVING; REGRESSION ANALYSIS; SET THEORY; THEOREM PROVING;

EID: 1642329906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 4
    • 1642398943 scopus 로고    scopus 로고
    • Predicting locations using map similarity (plums): A framework for spatial data mining
    • S. Chawla, S. Shekhar, and W. Wu. Predicting locations using map similarity (plums): A framework for spatial data mining. Sixth ACM SIGKDD, Boston, MA, 2000.
    • (2000) Sixth ACM SIGKDD, Boston, MA
    • Chawla, S.1    Shekhar, S.2    Wu, W.3
  • 6
    • 0000064189 scopus 로고    scopus 로고
    • Bayesian estimation of spatial autoregressive models
    • J.P. LeSage. Bayesian estimation of spatial autoregressive models. International Regional Science Review, (20):113-129, 1997.
    • (1997) International Regional Science Review , Issue.20 , pp. 113-129
    • LeSage, J.P.1
  • 7
    • 0009997303 scopus 로고
    • Amrkov Random Field Modeling
    • Publisher: Springer Verlag
    • S. Li. Amrkov Random Field Modeling. Computer Vision (Publisher: Springer Verlag, 1995.
    • (1995) Computer Vision
    • Li, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.