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STACS
2007
Springer
13 years 11 months ago
A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
Costas Busch, Srikanta Tirthapura
ICDE
2006
IEEE
158views Database» more  ICDE 2006»
14 years 6 months ago
Space-efficient Relative Error Order Sketch over Data Streams
We consider the problem of continuously maintaining order sketches over data streams with a relative rank error guarantee . Novel space-efficient and one-scan randomised technique...
Ying Zhang, Xuemin Lin, Jian Xu, Flip Korn, Wei Wa...
PODS
2006
ACM
217views Database» more  PODS 2006»
14 years 5 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
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
DKE
2008
109views more  DKE 2008»
13 years 5 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...