Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
Eye-tracking research is increasingly used to supplement usability tests in both commercial and academic practice. However, while there has been research into links between eyetra...
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...