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» A Unified Framework for Monitoring Data Streams in Real Time
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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 7 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
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...
Michael Hahsler, Margaret H. Dunham
IJCAI
1989
13 years 6 months ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth
CIKM
2010
Springer
13 years 3 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
VLDB
2002
ACM
165views Database» more  VLDB 2002»
13 years 4 months ago
RTMonitor: Real-Time Data Monitoring Using Mobile Agent Technologies
RTMonitor is a real-time data management system for traffic navigation applications. In our system, mobile vehicles initiate time-constrained navigation requests and RTMonitor cal...
Kam-yiu Lam, Alan Kwan, Krithi Ramamritham
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 4 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri