In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence ...
Existing data cleaning methods work on the basis of computing the degree of similarity between nearby records in a sorted database. High recall is achieved by accepting records wi...
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...