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DMKD
2003
ACM
148views Data Mining» more  DMKD 2003»
14 years 1 months ago
A symbolic representation of time series, with implications for streaming algorithms
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...
TOG
2002
133views more  TOG 2002»
13 years 7 months ago
Interactive motion generation from examples
There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who mus...
Okan Arikan, David A. Forsyth
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 9 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
COMPGEOM
2004
ACM
14 years 1 months ago
Range counting over multidimensional data streams
We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
Subhash Suri, Csaba D. Tóth, Yunhong Zhou
VLDB
2002
ACM
106views Database» more  VLDB 2002»
13 years 7 months ago
Approximate Frequency Counts over Data Streams
We present algorithms for computing frequency counts exceeding a user-specified threshold over data streams. Our algorithms are simple and have provably small memory footprints. A...
Gurmeet Singh Manku, Rajeev Motwani