134 search results - page 3 / 27 » Sliding-Window Filtering: An Efficient Algorithm for Increme... |
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
TKDE
2008
13 years 7 months ago
2008
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...