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» Sketching Sampled Data Streams
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IMC
2005
ACM
14 years 1 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang
EMNLP
2011
12 years 7 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III
SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
13 years 5 months ago
Stratified Reservoir Sampling over Heterogeneous Data Streams
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
Mohammed Al-Kateb, Byung Suk Lee
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 9 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
ICC
2007
IEEE
156views Communications» more  ICC 2007»
14 years 1 months ago
A Sampling Data Stream Algorithm For Wireless Sensor Networks
Abstract— This work presents a sampling data stream algorithm for wireless sensor networks (WSNs). The proposed algorithm is based on sampling techniques applied to data histogra...
André L. L. de Aquino, Carlos Mauricio S. F...