Medical data mining is used to extract knowledgeable information from a huge amount of
medical data. Associative classification is a rule based new approach which integrates …

Artificial Neural Networks have a number of properties which make them psuitable to solve
complex pattern classification problems. Their applications to some real world problems has …

Weighted association rule mining reflects semantic significance of item by considering its
weight. Classification constructs the classifier and predicts the new data instance. This paper …

With the improvement of web sources and the progression of science and innovation, a
huge amount of data has been generated and stored. A proper and accurate classification …

In our work, we acquaint a novel methodology to classify information in different datasets.
Our strategy depends on K-nearest neighbor (KNN) classification and utilizes Principal …

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 …

Classification and association rule mining are the two important tasks addressed in the data
mining literature. Associative classification method applies association rule mining …

Feature ranking and selection (FR&S) is an important preprocessing phase for text
classification, and it is in most cases produces small valuable sub-feature space among the …

Associative classification method applies association rule mining technique in classification
and achieves higher classification accuracy. However, it is a known fact that associative …

The associative classification method integrates association rule mining and classification.
Constructing an efficient classifier with a small set of high quality rules is a highly important …