SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
LWA
2008
13 years 6 months ago
2008
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
IJCAI
2007
13 years 6 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
DAGSTUHL
2007
13 years 6 months ago
2007
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
FEGC
2010
13 years 6 months ago
2010
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
BDA
2007
13 years 6 months ago
2007
Pervasive information systems give an overview of what digital environments should look like in the future. From a data-centric point of view, traditional databases have to be use...
ESWS
2008
Springer
13 years 6 months ago
2008
Springer
A lot of work has been done in the area of data stream processing. Most of the previous approaches regard only relational or XML based streams but do not cover semantically richer ...
EDBT
2008
ACM
13 years 6 months ago
2008
ACM
A large class of applications require real-time processing of continuous stream data resulting in the development of data stream management systems (DSMS). Since many of these app...
DAWAK
2008
Springer
13 years 6 months ago
2008
Springer
Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, util...
DAWAK
2008
Springer
13 years 6 months ago
2008
Springer
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...