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» Algorithms for the Database Layout Problem
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114
Voted
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 8 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
SIGMOD
2010
ACM
202views Database» more  SIGMOD 2010»
15 years 7 months ago
PAROS: pareto optimal route selection
Modern maps provide a variety of information about roads and their surrounding landscape allowing navigation systems to go beyond simple shortest path computation. In this demo, w...
Franz Graf, Hans-Peter Kriegel, Matthias Renz, Mat...
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 7 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 6 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
117
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 6 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...