Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousan...
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Chr...
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
Query optimizers in current database systems are designed to pick a single efficient plan for a given query based on current statistical properties of the data. However, different...
Pedro Bizarro, Shivnath Babu, David J. DeWitt, Jen...
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...