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KDD
2004
ACM
14 years 3 months ago
2004
ACM
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...
KDD
2004
ACM
14 years 3 months ago
2004
ACM
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...