Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …

Determining minimum support value on association rule is not easy to users. Hurdles such
as data locations and data origins are a mountain that should be overcome by association …

Mining uncertain frequent patterns (UFPs) from uncertain databases was recently
introduced, and there are various approaches to solve this problem in the last decade …

In dam monitoring, anomalous data is often removed directly by researchers. However,
some anomalous data may be due to sudden changes in the state of the dam itself and …

The growth of increasingly complex data now raises new challenges in the world of
technology. Large volumes of data store a lot of knowledge that can help in the decision …

Association rules are the specific data mining methods aiming to discover explicit relations
between the different attributes in a large dataset. However, in reality, several datasets may …

With the rapid development of social networks, personal privacy leakage has become more
and more serious. A social network is a shared platform. Resources in a social network may …

The analysis of physiological signals is widely used for the development of diagnosis
support tools in medicine, and it is currently an open research field. The use of multiple …

Adaptive rule is a proposed development model of the association rule that answers the
weaknesses of previous research and takes an inventory of current needs. In the adaptive …

A prominent research area in data mining field is (ARM). As distributed databases emerged,
need to mine different patterns across them become necessary and hence distributed ARM …