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DIS
2006
Springer
15 years 10 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
RTCSA
2007
IEEE
16 years 24 days ago
A Continuous Query Index for Processing Queries on RFID Data Stream
RFID middleware systems collect and filter RFID streaming data gathered continuously by numerous readers to process requests from applications. These requests are called continuou...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
EDBT
2006
ACM
202views Database» more  EDBT 2006»
16 years 6 months ago
Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams
Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identific...
Fusheng Wang, Shaorong Liu, Peiya Liu, Yijian Bai
ICDE
2005
IEEE
135views Database» more  ICDE 2005»
16 years 8 months ago
Finding (Recently) Frequent Items in Distributed Data Streams
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...
Amit Manjhi, Vladislav Shkapenyuk, Kedar Dhamdhere...
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
16 years 29 days ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...