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» Unsupervised Outlier Detection in Time Series Data
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AAAI
2007
13 years 9 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
CLEF
2011
Springer
12 years 7 months ago
Intrinsic Plagiarism Detection Using Character Trigram Distance Scores - Notebook for PAN at CLEF 2011
Abstract In this paper, we describe a novel approach to intrinsic plagiarism detection. Each suspicious document is divided into a series of consecutive, potentially overlapping â€...
Mike Kestemont, Kim Luyckx, Walter Daelemans
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data
Background: In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologist's opin...
Miika Ahdesmäki, Harri Lähdesmäki, ...
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 7 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
CSDA
2010
99views more  CSDA 2010»
13 years 7 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux