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Volumn 15, Issue 3, 2007, Pages 321-348

CrossClus: User-guided multi-relational clustering

Author keywords

Clustering; Relational data mining

Indexed keywords

DATA MINING; FEATURE EXTRACTION; OPTIMIZATION; RELATIONAL DATABASE SYSTEMS; SEMANTICS; USER INTERFACES;

EID: 35548932004     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-007-0072-z     Document Type: Article
Times cited : (44)

References (29)
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    • Improving the efficiency of inductive logic programming through the use of query packs
    • Blockeel H, Dehaspe L and Demoen B (2002). Improving the efficiency of inductive logic programming through the use of query packs. J Artif Intell Res 16: 135-166
    • (2002) J Artif Intell Res , vol.16 , pp. 135-166
    • Blockeel, H.1    Dehaspe, L.2    Demoen, B.3
  • 6
    • 33745582166 scopus 로고    scopus 로고
    • DBLP Bibliography. http://www.informatik.uni-trier.de/~ley/db/
    • DBLP Bibliography
  • 8
    • 26444454606 scopus 로고    scopus 로고
    • Feature selection for unsupervised learning
    • Dy JG and Brodley CE (2004). Feature selection for unsupervised learning. J Mach Learn Res 5: 845-889
    • (2004) J Mach Learn Res , vol.5 , pp. 845-889
    • Dy, J.G.1    Brodley, C.E.2
  • 10
    • 4444288656 scopus 로고    scopus 로고
    • Kernels and distances for structured data
    • Gärtner T, Lloyd JW and Flach PA (2004). Kernels and distances for structured data. Mach Learn 57: 205-232
    • (2004) Mach Learn , vol.57 , pp. 205-232
    • Gärtner, T.1    Lloyd, J.W.2    Flach, P.A.3
  • 11
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I and Elisseeff A (2003). An introduction to variable and feature selection. J Mach Learn Res 3: 1157-1182
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 12
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Stanford, CA
    • Hall MA (2000) Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of the 2000 international conference on machine learning, Stanford, CA, pp 359-366
    • (2000) Proceedings of the 2000 International Conference on Machine Learning , pp. 359-366
    • Ma, H.1
  • 16
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • Sydney, Australia
    • Klein D, Kamvar SD, Manning C (2002) From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering. In: Proceedings of the 2002 international conference on machine learning, Sydney, Australia, pp 307-314
    • (2002) Proceedings of the 2002 International Conference on Machine Learning , pp. 307-314
    • Klein, D.1    Kamvar, S.D.2    Manning, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.