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» Structure Discovery in Sequentially-connected Data Streams
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KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 9 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
ECML
1997
Springer
13 years 10 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
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
14 years 7 months ago
Tree-Pattern Similarity Estimation for Scalable Content-based Routing
With the advent of XML as the de facto language for data publishing and exchange, scalable distribution of XML data to large, dynamic populations of consumers remains an important...
Raphaël Chand, Pascal Felber, Minos N. Garofa...
CN
1999
158views more  CN 1999»
13 years 5 months ago
A Comparison of Schemas for Video Metadata Representation
To enable the resource discovery of audiovisual documents over the World Wide Web, it will be necessary to define content description standards or metadata standards for complex, ...
Jane Hunter, Liz Armstrong
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 5 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...