148 search results - page 10 / 30 » Mining top-K frequent itemsets from data streams |
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
JIIS
2008
13 years 8 months ago
2008
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
IDEAS
2003
IEEE
14 years 1 months ago
2003
IEEE
With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The a...
DAWAK
2005
Springer
14 years 2 months ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
DIS
2009
Springer
14 years 3 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...