Classification is one of the key issues in the fields of decision sciences and knowledge
discovery. This paper presents a new approach for constructing a classifier, based on an …

Associative classification (AC) integrates the task of mining association rules with the
classification task to increase the efficiency of the classification process. AC algorithms …

Associative classification, which uses association rules for classification, has achieved high
accuracy in comparison with other classification approaches. However, the confidence …

Associative classification has aroused significant attention in recent years and proved to
generate good results in previous research efforts. This paper aims to contribute to this line …

New classification approach that use association rule mining and classification has become
a significant tool for knowledge discovery. An important advantage of these classification …

Association rule mining involves discovering concealed correlations among variables often
from sales transactions to help managers in key business decision involving items shelving …

Health care data diagnosis is a significant task that needs to be executed precisely, which
requires much experience and domain-knowledge. Traditional symptoms-based disease …

Abstract Associative Classification (AC) or Class Association Rule (CAR) mining is a very
efficient method for the classification problem. It can build comprehensible classification …

Association rule mining is a well-known technique in data mining. It is able to reveal all
interesting relationships, called associations, in a potentially large database. However, how …

Established associative classification algorithms have shown to be very effective in handling
categorical data such as text data. The learned model is a set of rules that are easy to …