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Volumn 3202, Issue , 2004, Pages 99-111

Spatial associative classification at different levels of granularity: A probabilistic approach

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

EID: 35048836319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30116-5_12     Document Type: Article
Times cited : (10)

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    • Domingos, P.1    Pazzani, M.2
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    • Güting, R.H.1
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    • Discovery of Spatial Association Rules in Geographic Information Databases
    • Advances in Spatial Databases. Springer-Verlag
    • Koperski, K., Han, J.: Discovery of Spatial Association Rules in Geographic Information Databases. Advances in Spatial Databases. LNCS 951, Springer-Verlag, (1995) 47-66.
    • (1995) LNCS , vol.951 , pp. 47-66
    • Koperski, K.1    Han, J.2
  • 16
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    • Inducing Multi-Level Association Rules from Multiple Relations
    • to appear
    • Lisi, F.A., Malerba, D.: Inducing Multi-Level Association Rules from Multiple Relations. Machine Learning, (2004), to appear.
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