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Volumn 4702 LNAI, Issue , 2007, Pages 430-437

A method for multi-relational classification using single and multi-feature aggregation functions

Author keywords

Existential quantifier; Multi feature aggregation; Multi relational classification; Multi relational datamining

Indexed keywords

DATA MINING; DATABASE SYSTEMS; FEATURE EXTRACTION; LEARNING ALGORITHMS; LOGIC PROGRAMMING;

EID: 38049156405     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74976-9_43     Document Type: Conference Paper
Times cited : (26)

References (13)
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  • 2
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  • 6
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    • Knobbe, A.J., Siebes, A., Marseille, B.: Involving Aggregate Functions in MultiRelational Search. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), 2431, Springer, Heidelberg (2002)
    • Knobbe, A.J., Siebes, A., Marseille, B.: Involving Aggregate Functions in MultiRelational Search. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, Springer, Heidelberg (2002)
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    • Aggregation-Based Feature Invention and Relational Concept Classes
    • Perlich, C., Provost, F.: Aggregation-Based Feature Invention and Relational Concept Classes. In: Proceedings of KDD (2003)
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    • Probabilistic classification and clustering in relational data
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    • Vens, C., Van Assche, A., Blockeel, H., Dzeroski, S.: First order random forests with complex aggregates. In: Camacho, R., King, R., Srinivasan, A. (eds.) ILP 2004. LNCS (LNAI), 3194, Springer, Heidelberg (2004)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.