The future of automated driving (AD) is rooted in the development of rob...
Discovering relevant patterns for a particular user remains a challengin...
In most optimization problems, users have a clear understanding of the
f...
The problem of discovering frequent itemsets including rare ones has rec...
Itemset mining is one of the most studied tasks in knowledge discovery. ...
Learning constraint networks is known to require a number of membership
...
Discovering significant itemsets is one of the fundamental problems in d...