Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
KIM, JIHYE. Mining of Cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. (Under the direction of Steffen Heber). Alternative splicing (AS) is an important...
Jihye Kim, Sihui Zhao, Brian E. Howard, Steffen He...
Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user...
When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among thes...
Ping Chen, Rakesh M. Verma, Janet C. Meininger, We...
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...