BookDOI
Time series analysis and its applications : with R examples
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TLDR
This research presents a meta-analysis of time series regression and exploratory data analysis on the basis of ARIMA models for state-space models and spectral analysis and filtering in the frequency domain.Abstract:
Characteristics of time series.- Time series regression and exploratory data analysis.- ARIMA models.- Spectral analysis and filtering.- Additional time domain topics.- State-space models.- Statistical methods in the frequency domain.read more
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Journal ArticleDOI
Deep learning for short-term traffic flow prediction
Nicholas G. Polson,Vadim Sokolov +1 more
TL;DR: A deep learning model is developed that combines a linear model that is fitted using l 1 regularization and a sequence of tanh layers to predict traffic flows and identifies spatio-temporal relations among predictors and other layers model nonlinear relations.
Book
Data Mining: The Textbook
TL;DR: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.
Journal ArticleDOI
Identifying Stable Patterns over Time for Emotion Recognition from EEG
TL;DR: The experimental results indicate that stable patterns of electroencephalogram (EEG) over time for emotion recognition exhibit consistency across sessions; the lateral temporal areas activate more for positive emotions than negative emotions in beta and gamma bands; and the neural patterns of neutral emotions have higher alpha responses at parietal and occipital sites.
Journal ArticleDOI
A network approach to psychopathology: New insights into clinical longitudinal data
Laura F. Bringmann,Nathalie Vissers,Marieke Wichers,Nicole Geschwind,Peter Kuppens,Frenk Peeters,Denny Borsboom,Francis Tuerlinckx +7 more
TL;DR: The analysis generates a plausible and replicable network architecture, the structure of which is related to variables such as neuroticism; that is, for subjects who score high on neuroticism, worrying plays a more central role in the network.
Journal ArticleDOI
Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
Cheng Fan,Fu Xiao,Shengwei Wang +2 more
TL;DR: This paper presents a data mining (DM) based approach to developing ensemble models for predicting next-day energy consumption and peak power demand, with the aim of improving the prediction accuracy.