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» Cost-Sensitive Analysis in Multiple Time Series Prediction
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NAACL
2003
13 years 8 months ago
Automatically Predicting Information Quality in News Documents
We report here empirical results of a series of studies aimed at automatically predicting information quality in news documents. Multiple research methods and data analysis techni...
Rong Tang, Kwong Bor Ng, Tomek Strzalkowski, Paul ...
INFOCOM
2009
IEEE
14 years 2 months ago
Measuring Complexity and Predictability in Networks with Multiscale Entropy Analysis
—We propose to use multiscale entropy analysis in characterisation of network traffic and spectrum usage. We show that with such analysis one can quantify complexity and predict...
Janne Riihijärvi, Matthias Wellens, Petri M&a...
BMCBI
2008
148views more  BMCBI 2008»
13 years 7 months ago
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
Claudia Angelini, Luisa Cutillo, Daniela De Candit...
IDEAL
2007
Springer
14 years 1 months ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
IDEAL
2004
Springer
14 years 25 days ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small