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Volumn 3, Issue , 2003, Pages 1820-1825

Applying ai technology and rough set theory to mine association rules for supporting knowledge management

Author keywords

Data mining; Knowledge management; Rough set theory; Self Organizing Map

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHARACTER RECOGNITION; COMPETITION; DATA MINING; DATABASE SYSTEMS; DECISION MAKING; IMAGE COMPRESSION; INTELLECTUAL PROPERTY; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; ROUGH SET THEORY; SELF ORGANIZING MAPS; SPEECH RECOGNITION;

EID: 1542346059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (8)
  • 3
    • 0035476211 scopus 로고    scopus 로고
    • The cluster-indexing method for cased reasoning using self-organizing maps and learning vector quantization for bond rating cases
    • Kim K S, Han I. The cluster-indexing method for cased reasoning using self-organizing maps and learning vector quantization for bond rating cases. Expert Systems with Applications, (21): 147-156 , 2001
    • (2001) Expert Systems with Applications , vol.21 , pp. 147-156
    • Kim, K.S.1    Han, I.2
  • 4
    • 0035371343 scopus 로고    scopus 로고
    • Generalized part family formation through fuzzy self-organizing feature map neural network
    • Kuo R J, Chi S C, Teng P W. Generalized part family formation through fuzzy self-organizing feature map neural network. Computer and Industrial Engineering, (40): 79-100, 2001
    • (2001) Computer and Industrial Engineering , vol.40 , pp. 79-100
    • Kuo, R.J.1    Chi, S.C.2    Teng, P.W.3
  • 5
    • 0035966303 scopus 로고    scopus 로고
    • Extending the kohonen Self-organizing maps network for clustering analysis
    • Kiang M Y. Extending the kohonen Self-organizing maps network for clustering analysis. Computational Statistics and Data Analysis, (38): 161-180, 2001
    • (2001) Computational Statistics and Data Analysis , vol.38 , pp. 161-180
    • Kiang, M.Y.1
  • 7
    • 0035340352 scopus 로고    scopus 로고
    • Mining association rules procedure to support on-line recommendation by customers and products fragmentation
    • Changchien S W, Lu T C. Mining association rules procedure to support on-line recommendation by customers and products fragmentation. Expert Systems with Applications, (20): 325-335, 2001
    • (2001) Expert Systems with Applications , vol.20 , pp. 325-335
    • Changchien, S.W.1    Lu, T.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.