Abstract Classification Association Rule Mining (CARM) is an approach to classifier
generation that builds an Association Rule Mining based classifier using Classification …

Classification association rule mining (CARM) is a recent classification rule mining approach
that builds an association rule mining based classifier using classification association rules …

Abstract Association Rule Mining (ARM) is a promising method to provide insights for better
management of chronic diseases. However, ARM tends to give an overwhelming number of …

In this paper, an accurate classifier based on Class Association Rules (CARs), called CAR-
NF, is proposed. CAR-NF introduces a new strategy for computing CARs, using the Netconf …

Associations rule mining along with classification rule mining are both significant techniques
of mining of knowledge in the area of knowledge discovery in massive databases stored in …

Associative classification is becoming a promising alternative to classical machine learning
algorithms. It is a hybrid technique that combines supervised and unsupervised data mining …

Numerous attacks made by the malware have presented serious threats to the security of
computer users. Unfortunately, along with the development of the malware writing …

The Malware is program/software that damages or affects the computer system. Nowadays
all the fields are computerized. So the valuable data is stored in computer. If the malware …

Data mining is the overall process of extracting knowledge from data. In the study of how to
represent knowledge in data mining context, rules are one of the most used representation …

Multivariate control charts have been widely recognised as efficient tools for detection of
abnormal behaviour in multivariate processes. However, these charts provide only limited …