Association rule mining is a data mining technique for discovering useful and novel patterns
or relationships from databases. These rules are simple to infer and intuitive and can be …

Association rule mining is a data mining technique for finding actionable and novel patterns
from databases. Rules are simple to understand and can be easily used for classification …

Existing classification and rule learning algorithms in machine learning mainly use
heuristic/greedy search to find a subset of regularities (eg, a decision tree or a set of rules) in …

Association rule mining is a data mining task on a great deal of academic research has been
done and many algorithms are proposed. Association rule mining is treated as a twofold …

Associative classification rule mining (ACRM) methods operate by association rule mining
(ARM) to obtain classification rules from a previously classified data. In ACRM, classifiers …

Classification rule mining is one of the important problems in the emerging field of data
mining which is aimed at finding a small set of rules from the training data set with …

In data mining association rule mining represents a promising technique to find hidden
patterns in large data bases. The main issue about mining association rules in a medical …

In this paper, we present an improved association rule mining of data mining for the
detection of Coronary Artery Disease (CAD). The whole concept behind the research is …

Medical data mining is the search for relationships and patterns within the medical data that
could provide useful knowledge for effective medical diagnosis. Extracting useful information …

Association rule mining is one of the most important and well researched techniques of data
mining for descriptive task, initially used for market basket analysis. It finds all the rules …