295 search results - page 11 / 59 » Finding Interesting Rules from Large Sets of Discovered Asso... |
FPL
2008
Springer
13 years 9 months ago
2008
Springer
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
BNCOD
2003
13 years 9 months ago
2003
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
WISE
2002
Springer
14 years 23 days ago
2002
Springer
—Knowledge inference from semi-structured data can utilize frequent sub structures, in addition to frequency of data items. In fact, the working assumption of the present study i...
KDD
1998
ACM
14 years 2 days ago
1998
ACM
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
ISBRA
2009
Springer
14 years 2 months ago
2009
Springer
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...