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» Warping the time on data streams
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ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
14 years 4 months ago
Loss tolerance scheme for 3D progressive meshes streaming over networks
– Nowadays, the Internet provides a convenient medium for sharing complex 3D models online. However, transmitting 3D progressive meshes over networks may encounter the problem of...
Hui Li, Ziying Tang, Xiaohu Guo, Balakrishnan Prab...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 3 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ECML
1997
Springer
14 years 2 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
SODA
2008
ACM
126views Algorithms» more  SODA 2008»
13 years 11 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...