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Volumn , Issue , 2007, Pages 80-85

The outliers mining algorithm based on constrained concept lattice

Author keywords

Background knowledge; Constrained concept lattice; Outlier; Sparsity coefficient; Subspace

Indexed keywords

CONCEPT LATTICES; DIMENSIONAL SUBSPACE; E-COMMERCE; INTERNATIONAL SYMPOSIUM; LOW DIMENSIONAL SUBSPACE; MINING ALGORITHMS; NEW CONCEPT; OUTLIER MINING;

EID: 48049085428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDPE.2007.44     Document Type: Conference Paper
Times cited : (4)

References (11)
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  • 2
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  • 3
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  • 4
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    • Incremental Discovering Association Rules: A Concept Lattice Approach
    • Beijing
    • Hu Keyun, Lu Yuchang, Shi Chunyi, " Incremental Discovering Association Rules: a Concept Lattice Approach", In: Proceedings of the PAKDD'99, Beijing, 1999, pp. 109-113.
    • (1999) Proceedings of the PAKDD'99 , pp. 109-113
    • Hu, K.1    Lu, Y.2    Shi, C.3
  • 5
    • 26944494492 scopus 로고    scopus 로고
    • Anamika Gupta,Naveen Kumar,Vasudha Bhatnagar, Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis, LNCS 3587/2005 (MLDM 2005), pp. 11-20.
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  • 6
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    • Algorithms For mining Distancebased Outliers in Large Datasets
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  • 7
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  • 8
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    • Knowledge discovery based on concept lattice research
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  • 9
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    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.