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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
14 years 1 months ago
Learning from Time-Changing Data with Adaptive Windowing
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...
Albert Bifet, Ricard Gavaldà
LWA
2008
14 years 1 months ago
Towards Burst Detection for Non-Stationary Stream Data
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...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
IJCAI
2007
14 years 1 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
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...
Shen-Shyang Ho, Harry Wechsler
DAGSTUHL
2007
14 years 1 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
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...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
FEGC
2010
161views Biometrics» more  FEGC 2010»
14 years 1 months ago
Detecting anomalies in data streams using statecharts
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...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
BDA
2007
14 years 1 months ago
Towards Action-Oriented Continuous Queries in Pervasive Systems
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...
Yann Gripay, Frédérique Laforest, Je...
ESWS
2008
Springer
14 years 1 months ago
Streaming SPARQL - Extending SPARQL to Process Data Streams
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 ...
Andre Bolles, Marco Grawunder, Jonas Jacobi
EDBT
2008
ACM
138views Database» more  EDBT 2008»
14 years 1 months ago
Potential-driven load distribution for distributed data stream processing
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...
Weihan Wang, Mohamed A. Sharaf, Shimin Guo, M. Tam...
DAWAK
2008
Springer
14 years 1 months ago
Summarizing Distributed Data Streams for Storage in Data Warehouses
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...
Raja Chiky, Georges Hébrail
DAWAK
2008
Springer
14 years 1 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
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...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen