Sciweavers

929 search results - page 23 / 186
» Streaming SPARQL - Extending SPARQL to Process Data Streams
Sort
View
ALGORITHMICA
2002
97views more  ALGORITHMICA 2002»
14 years 9 months ago
Testing and Spot-Checking of Data Streams
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
Joan Feigenbaum, Sampath Kannan, Martin Strauss, M...
118
Voted
EDBT
2012
ACM
308views Database» more  EDBT 2012»
12 years 12 months ago
Transactional stream processing
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 7 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
90
Voted
AMW
2010
14 years 11 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
74
Voted
ASIAN
2005
Springer
130views Algorithms» more  ASIAN 2005»
14 years 11 months ago
A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit
Abstract. Detecting changes in data streams is very important for many applications. This paper presents a hybrid method for detecting data stream changes in intensive care unit. I...
Ting Yin, Hongyan Li, Zijing Hu, Yu Fan, Jianlong ...