Analyzing the subjective interestingness of association rules

IEEE Intelligent Systems and Their Applications

Volumn 15, Issue 5, 2000, Pages 47-55

  Liu, Bing ^a,b,c,d   Hsu, Wynne ^a,e   Chen, Shu ^a,f   Ma, Yiming ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b National University of Singapore ^*  (Singapore)

^c IEEE   (Singapore)

^d ACM SIGKDD   (United States)

^e ACM   (Singapore)

^f Creative Technology

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATION RULES; GENERAL IMPRESSION; INTERESTINGNESS ANALYSIS SYSTEM; KNOWLEDGE DISCOVERY; PRECISE KNOWLEDGE; REASONABLY PRECISE CONCEPT;

ALGORITHMS; C (PROGRAMMING LANGUAGE); COMPUTER HARDWARE DESCRIPTION LANGUAGES; DATA HANDLING; DATA MINING; DATABASE SYSTEMS; GRAPH THEORY; KNOWLEDGE ACQUISITION; KNOWLEDGE REPRESENTATION; SET THEORY;

KNOWLEDGE BASED SYSTEMS;

EID: 0034262326     PISSN: 10947167     EISSN: None     Source Type: Journal    
DOI: 10.1109/5254.889106     Document Type: Article

References (15)

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