1402 search results - page 30 / 281 » Detecting Change in Data Streams |
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
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...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...