Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
I argue against trying to solve the problem of clustering objects into disk pages. Instead, I propose that objects be fetched in groups that may be specific to an application or ...
Pipeline Spectroscopy is a new technique that allows us to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogram, which represents a precis...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...