Objective: Associative classification is a method that generates a rule-based classifier in a
categorical data set. The main purpose of the associative classification is to create …

Mining associations between variables corresponding to multiple class labels (or outcomes)
is prevalent in various applied domains, such as medical diagnosis, text mining, e …

Machine learning techniques are ever prevalent as datasets continue to grow daily.
Associative classification (AC), which combines classification and association rule mining …

Firms are forced to come up with innovative approaches to compete in today's difficult global
market circumstances. The churning of the customer is one of the issues that arise when a …

This book aims to provide a new vision of how algorithms are the core of decision support
systems (DSSs), which are increasingly important information systems that help to make …

Gene Expression data are being collected from microarray. Several rule mining algorithms
are used to generate rules on microarray datasets but it produces large number of rules. To …

The rule-based classification algorithm now includes a dynamic threshold value. The
significance of threshold values, classification algorithms that use threshold values, issues …