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Volumn , Issue , 2004, Pages 407-410

Mining Ratio Rules via principal sparse non-negative matrix factorization

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULE MINING (ARM); NON-NEGATIVE MATRIX FACTORIZATION (NMF); PRINCIPAL SPARSE NON-NEGATIVE MATRIX FACTORIZATION (PSNMF); SPARSE NON-NEGATIVE MATRIX FACTORIZATION (SNMF);

EID: 19544362354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Agrawal, R., Imielinski, T. and Swami, A.N., Mining association rules between sets of items in large databases. In the Proc. of the ACM SIGMOD, (1993), 207-216.
    • (1993) The Proc. of the ACM SIGMOD , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 2
    • 0001681372 scopus 로고    scopus 로고
    • A statistical theory for quantitative association rules
    • Aumann, Y. and Lindell, Y., A statistical theory for quantitative association rules. In the Proc. KDD, (1999).
    • (1999) The Proc. KDD
    • Aumann, Y.1    Lindell, Y.2
  • 3
    • 0002401815 scopus 로고
    • Discovery of multiple-level association rules from large databases
    • Han, J. and Fu, Y., Discovery of Multiple-Level Association Rules from Large Databases. In Proc. of the VLDB, (1995), 420-431.
    • (1995) Proc. of the VLDB , pp. 420-431
    • Han, J.1    Fu, Y.2
  • 6
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, B.A. and Field, D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381(1996). 607-609.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 7
    • 0030157416 scopus 로고    scopus 로고
    • Mining quantitative association rules in large relational tables
    • Srikant, r. and Agrawal, R., Mining quantitative association rules in large relational tables. In Proc. of the ACM SIGMOD (1996).
    • (1996) Proc. of the ACM SIGMOD
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.