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» Knowledge discovery from sensor data (SensorKDD)
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CASCON
2010
174views Education» more  CASCON 2010»
14 years 7 months ago
Smart Services Across the Real and Virtual Worlds
Today, we are witnessing a new level of scale, complexity, and pervasiveness of software systems that are designed to support much more holistically complex processes. Much richer...
Eleni Stroulia
ICDE
2007
IEEE
170views Database» more  ICDE 2007»
15 years 11 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...
113
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KDD
2008
ACM
264views Data Mining» more  KDD 2008»
15 years 10 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
KDD
1997
ACM
213views Data Mining» more  KDD 1997»
15 years 1 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
12 years 12 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...