Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

Big Data is a large-sized and complex dataset, which cannot be managed using traditional
data processing tools. Mining process of big data is the ability to extract valuable information …

Classification is an important topic in data mining research. Given a set of data records, each
of which belongs to one of a number of predefined classes, the classification problem is …

This paper presents an attribute clustering method which is able to group genes based on
their interdependence so as to mine meaningful patterns from the gene expression data. It …

In order to allow for the analysis of data sets including numerical attributes, several
generalizations of association rule mining based on fuzzy sets have been proposed in the …

This paper considers the outpatient no-show problem faced by a rural free clinic located in
the south-eastern United States. Using data mining and simulation techniques, we develop …

None of the previously proposed Network Intrusion Detection Systems (NIDSs), which are
subject to fuzzy association rules, can meet real-time requirements because they all apply …

Given a sequence database and minimum support threshold, the task of sequential pattern
mining is to discover the complete set of sequential patterns in databases. From the …

Acquisition and the retention of customers are the top most concerns in today's business
world. The rapid increase of market in every business is leading to higher subscriber base …