Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
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...
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Given a subset of data that differs from the rest, a user often wants an explanation as to why this is the case. For instance, in a database of flights, a user may want to understa...
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...