148 search results - page 27 / 30 » Mining top-K frequent itemsets from data streams |
FLAIRS
2007
13 years 11 months ago
2007
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
ASC
2008
13 years 8 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
DAWAK
2005
Springer
14 years 2 months ago
2005
Springer
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. This cost becomes even more prohibitive when querie...