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» Exponentially Decayed Aggregates on Data Streams
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ICDE
2008
IEEE
122views Database» more  ICDE 2008»
14 years 6 months ago
Exponentially Decayed Aggregates on Data Streams
In a massive stream of sequential events such as stock feeds, sensor readings, or IP traffic measurements, tuples pertaining to recent events are typically more important than olde...
Graham Cormode, Flip Korn, Srikanta Tirthapura
ICTCS
2005
Springer
13 years 10 months ago
Improved Algorithms for Polynomial-Time Decay and Time-Decay with Additive Error
Abstract. We consider the problem of maintaining polynomial and exponential decay aggregates of a data stream, where the weight of values seen from the stream diminishes as time el...
Tsvi Kopelowitz, Ely Porat
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 2 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
14 years 6 months ago
Forward Decay: A Practical Time Decay Model for Streaming Systems
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
PODS
2008
ACM
109views Database» more  PODS 2008»
14 years 4 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura