Statistically sound pattern discovery harnesses the rigour of statistical hypothesis testing to
overcome many of the issues that have hampered standard data mining approaches to …

Previous research on augmented reality has been mainly focused on augmentation of visual
or acoustic information. However, humans can receive information not only through vision …

We strive to find contexts (ie, subgroups of entities) under which exceptional (dis-)
agreement occurs among a group of individuals, in any type of data featuring individuals …

Frequent pattern mining is one of the most important and fundamental tasks in data mining.
While a large number of sophisticated techniques on frequent pattern mining are proposed …

Frequent itemset mining and association rule mining are fundamental problems in data
mining. Despite of the intensive and continuous researches on frequent itemset mining, one …

Discovering statistically significant patterns from databases is an important challenging
problem. The main obstacle of this problem is in the difficulty of taking into account the …

Indirect association rules and association action rules are two notable extensions of
traditional association rules. Since these two extended rules consist of a pair of association …

Discovering statistically significant patterns from databases is an important challenging
problem. The main obstacle of this problem is in the difficulty of taking into account the …

Association rule mining in transaction databases is one of the most fundamental tasks in
data mining. Indirect association rules and association action rules are two notable …

Frequent pattern mining is one of the most fundamental problems in data mining. While
extensive research has been conducted over a long period, the derivation of huge number …