75 search results - page 8 / 15 » A Sliding Window Algorithm for Relational Frequent Patterns ... |
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...
ADMA
2005
Springer
13 years 9 months ago
2005
Springer
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
ACSW
2004
13 years 9 months ago
2004
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
ICDM
2002
IEEE
14 years 15 days ago
2002
IEEE
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
JCP
2006
13 years 7 months ago
2006
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...