Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

The field of medical analysis is often referred to be a valuable source of rich information.
Coronary Heart Disease (CHD) is one of the major causes of death all around the world …

Abstract Indian Premier League (IPL) is one of the more popular cricket world tournaments,
and its financial is increasing each season, its viewership has increased markedly and the …

Acute coronary syndrome (ACS) is a serious cardiovascular disease that can lead to cardiac
arrest if not diagnosed promptly. However, in the actual diagnosis and treatment of ACS …

Utilising association rule discovery to learn classifiers in data mining is known as
Associative Classification (AC). In the last decade, AC algorithms proved to be effective in …

Business Intelligence Tools (BI Tools) can be an intelligent way for individuals to undertake
data analysis and reporting for guiding decision-making processes. There are many different …

A typical predictive approach in data mining that produces If-Then knowledge for decision
making is rule-based classification. Rule-based classification includes a large number of …

Current associative classification (AC) algorithms generate only the most obvious class
linked with a rule in the training data set and ignore all other classes. We handle this …

Patient discharge is one of the critical processes for medical providers from any health
facility to transfer the care of the patient to another care provider after hospitalisation. The …

Associative classification (AC) is a research topic that integrates association rules with
classification in data mining to build classifiers. After dissemination of the Classification …