A personalized defection detection and prevention procedure based on the self-organizing map and association rule mining: Applied to online game site

Artificial Intelligence Review

Volumn 21, Issue 2, 2004, Pages 161-184

  Song, Hee Seok ^a   Kim, Jae Kyeong ^b   Cho, Yeong Bin ^c   Kim, Soung Hie ^c  

^a Hannam University   (South Korea)

^b Kyung Hee University   (South Korea)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Association rule mining; Customer relationship management; Customer retention; Data mining; Self organizing map

Indexed keywords

DATA MINING; DECISION THEORY; ELECTRONIC COMMERCE; INTERNET; MULTILAYER NEURAL NETWORKS; ONLINE SYSTEMS; REGRESSION ANALYSIS; SELF ORGANIZING MAPS;

ASSOCIATION RULE MINING; CUSTOMER RETENTION; ONLINE GAME SITE; PERSONALIZED DEFECTION DETECTION;

ARTIFICIAL INTELLIGENCE;

EID: 1842865704     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:AIRE.0000021067.66616.b0     Document Type: Article

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