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ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 8 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 6 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
IJCNN
2008
IEEE
16 years 20 days ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 11 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