Ant colony optimization (ACO) is a meta-heuristic that is inspired by real ants that are
capable of exploring shortest paths, which inspires researchers to apply it for solving …

Feature subset selection is considered to be a significant task in data mining. There is a
need to develop optimal solutions with higher order of computational efficiency. In this …

High-utility itemset mining is used to obtain high utility itemsets by taking into account both
the quantity as well as the utility of each item, which have not been considered in frequent …

Objective: Association rule mining is one of the data mining process for discovering frequent
item set between transaction databases. The main objective of this research work is …

Data Mining (DM), used to extract large amounts of hidden, valuable, useful information in
large quantities and to provide strategic decision support, has created a new perspective on …

It is evident that usage of data mining methods in disease diagnosis has been increasing
gradually. In this paper, diagnosis of Coronary Artery Disease, which is one of the most well …

One of the important data mining techniques is association rule finding. Apriori is the most
famous algorithm based on this technique. But it has a major weakness which cannot …

A method and system for managing a risk of medication dependence that determines a
conservative estimate of the time when the patient will become dependent on a medication …

The leading causes of heart failure are diseases that damage the heart. One of the most well-
known diseases that cause heart failure is Coronary Artery Disease. Diagnosis of Coronary …

The Process of finding out correlations among the data items in the databases forms the
core concept in Association Rule Mining. The Association rule Mining algorithms helps in …