One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Abstract. Customer retention is an increasingly pressing issue in today's competitive environment. This paper proposes a personalized defection detection and prevention proced...
Hee Seok Song, Jae Kyeong Kim, Yeong Bin Cho, Soun...