The mining of periodic patterns in time series databases is an interesting data mining problem that can be envisioned as a tool for forecasting and predicting the future behavior o...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
Event processing will play an increasingly important role in constructing enterprise applications that can immediately react to business critical events. Various technologies have...
Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali...