As modern economies become predominantly service-based, companies increasingly derive
revenue from the creation and sustenance of long-term relationships with their customers. …

Many techniques for association rule mining and feature selection require a suitable metric
to capture the dependencies among variables in a data set. For example, metrics such as …

Although the merits of maintaining a market orientation have been extensively discussed in
the literature, studies examining the empirical link between market orientation and …

Background During the current ongoing COVID-19 pandemic, psychological problems like
anxiety, depression, irritability, mood swings, inattention and sleep disturbance are fairly …

Research in autophagy continues to accelerate, 1 and as a result many new scientists are
entering the field. Accordingly, it is important to establish a standard set of criteria for …

Bibliometric analysis is a popular and rigorous method for exploring and analyzing large
volumes of scientific data. It enables us to unpack the evolutionary nuances of a specific field, …

Kumar & Clark’s Clinical Medicine 8 builds on the prize-winning formula that won the first
prize in the BMA Book Awards Medicine Category in 2010 (7th edition) and 2006 (6th edition).‘…

This paper presents the top 10 data mining algorithms identified by the IEEE International
Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, …

The tailoring of a firm’s marketing mix to the individual customer is the essence of one-to-one
marketing. In this paper, we distinguish between two forms of one-to-one marketing: …

Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …