Huge amounts of data are being collected and analyzed nowadays. By using the popular
rule-learning algorithms, the number of rules discovered on those big datasets can easily …

Many studies in data mining have proposed a new classification approach called
associative classification. According to several reports associative classification achieves …

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

Text classification problem receives a lot of research that are based on machine learning,
statistical, and information retrieval techniques. In the last decade, the associative …

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 …

Recent studies in data mining have proposed a new classification approach, called
associative classification, which, according to several reports, such as Liu, B. et al (1998) …

Associative classification is a new classification approach integrating association mining
and classification. It becomes a significant tool for knowledge discovery and data mining …

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 …

Recent studies in data mining have proposed a new classification approach, called
associative classification, which, according to several reports, such as [7, 6], achieves higher …

Associative classification is a predictive modeling technique that constructs a classifier
based on class association rules (also known as predictive association rules; PARs). PARs …