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Volumn , Issue , 2001, Pages 443-449

Mining from open answers in questionnaire data

Author keywords

Association Rules; Classification Rules; Correspondence Analysis; Open Question; Questionnaire Data; Survey; Text Mining

Indexed keywords

COMPETITIVE INTELLIGENCE; COMPUTER SYSTEMS; CUSTOMER SATISFACTION; MANUAL CONTROL; MARKETING; NATURAL LANGUAGE PROCESSING SYSTEMS; RANDOM PROCESSES; STATISTICAL METHODS; VECTORS; VISUALIZATION;

EID: 0035789645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502579     Document Type: Conference Paper
Times cited : (38)

References (16)
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  • 8
    • 0012996858 scopus 로고    scopus 로고
    • (in Japanese) http://www.komatsusoft.co.ip/develp/vxtsc/index.html
    • Komatsu Soft, Information Mining Tool VextSearch (in Japanese) http://www.komatsusoft.co.ip/develp/vxtsc/index.html, 2001.
    • (2001) Information Mining Tool VextSearch
    • Soft, K.1
  • 12
    • 0029777083 scopus 로고    scopus 로고
    • Fisher information and stochastic complexity
    • Jorma Rissanen, Fisher information and stochastic complexity, IEEE Transaction on Information Theory, 42(1):40-47, 1996.
    • (1996) IEEE Transaction on Information Theory , vol.42 , Issue.1 , pp. 40-47
    • Rissanen, J.1
  • 15
    • 0000819141 scopus 로고
    • A leaming criterion for stochastic rules
    • Kenji Yamanishi, A leaming criterion for stochastic rules, Machine Learning, 9:165-203, 1992.
    • (1992) Machine Learning , vol.9 , pp. 165-203
    • Yamanishi, K.1
  • 16
    • 0032121805 scopus 로고    scopus 로고
    • A decision-theoretic extension of stochastic complexity and its applications to learning
    • Kenji Yamanishi, A decision-theoretic extension of stochastic complexity and its applications to learning, IEEE Transaction on Infortmation Theory., 44(4):1424-1439, 1998.
    • (1998) IEEE Transaction on Infortmation Theory. , vol.44 , Issue.4 , pp. 1424-1439
    • Yamanishi, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.