Associative classification mining is a promising approach in data mining that utilizes the
association rule discovery techniques to construct classification systems, also known as …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

Text clustering methods can be used to structure large sets of text or hypertext documents.
The well-known methods of text clustering, however, do not really address the special …

Breast cancer represents the second leading cause of cancer deaths in women today and it
is the most common type of cancer in women. This paper presents some experiments for …

A good text classifier is a classifier that efficiently categorizes large sets of text documents in
a reasonable time frame and with an acceptable accuracy, and that provides classification …

In this article we propose a data treatment strategy to generate new discriminative features,
called compound-features (or c-features), for the sake of text classification. These c-features …

Frequent itemsets originates from association rule mining. Recently, it has been applied in
text mining such as document categorization, clustering, etc. In this paper, we conduct a …

This paper proposes a new classification method based on association rule mining. This
association rule-based classifier is experimented on a real dataset; a database of medical …

Context: Large-scale software projects require interaction between many stakeholders.
Behavior-driven development (BDD) facilitates collaboration between stakeholders, and an …

Associative classifiers are a classification system based on associative classification rules.
Although associative classification is more accurate than a traditional classification …