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» Approximate Join Processing Over Data Streams
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VLDB
2005
ACM
196views Database» more  VLDB 2005»
14 years 2 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
ICDCS
2005
IEEE
14 years 2 months ago
Optimal Component Composition for Scalable Stream Processing
Stream processing has become increasingly important with emergence of stream applications such as audio/video surveillance, stock price tracing, and sensor data analysis. A challe...
Xiaohui Gu, Philip S. Yu, Klara Nahrstedt
CIKM
2006
Springer
14 years 14 days ago
Amnesic online synopses for moving objects
We present a hierarchical tree structure for online maintenance of time-decaying synopses over streaming data. We exemplify such an amnesic behavior over streams of locations take...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...
VLDB
2005
ACM
86views Database» more  VLDB 2005»
14 years 2 months ago
One-Pass Wavelet Synopses for Maximum-Error Metrics
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Panagiotis Karras, Nikos Mamoulis
JIIS
2007
150views more  JIIS 2007»
13 years 8 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...