[PDF] Top 20 Time Series Analysis based on Complex Networks
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Time Series Analysis based on Complex Networks
... Univariate time series analysis is a mature and solid field with well developed and understood methods and associated ...particular series, ranging from the linear ARMA models for stationary ... See full document
138
Comparative analysis of Recurrent and Finite Impulse Response Neural Networks in Time Series Prediction
... for time series prediction, there was no consensus on the best architecture to ...“recurrent networks usually did better than TDNNs except on the finite memory machine ...problem”. ... See full document
12
Jerarca: efficient analysis of complex networks using hierarchical clustering.
... are networks based on protein-protein interaction data, those based on shared protein domains, genetic interaction networks or coexpression ...preferable on theoretical ... See full document
7
Tennis Winner Prediction based on Time-Series History with Neural Modeling
... data based on Multi-Layer ...are based on two main types of data: sta- tistical data and environmental data, are selected for the ...the networks have large database of prior examples ... See full document
6
Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.
... Neural Networks (RBFN) to forecast the price of electricity in Spain by treating the price behavior as a nonlinear function, which therefore required a non- linear model to capture the behavior of the ... See full document
23
Forecasting the Portuguese stock market time series by using artificial neural networks
... model based on biological neural networks or, in other words, is an emulation of a biological neural ...nonlinear time series models and, in the last years, was used with success in ... See full document
14
Identification of Linear Periodically Time-Varying Systems Based on Hartley Series
... orthogonal series expansions is well known as an alternative for approximation and representation of ...as analysis of linear time invariant and time varying systems, model reduction, optimal ... See full document
6
Root cause analysis in large and complex networks
... elements on the network as hosts, servers, links, routers and switches. Real-time monitoring is another fundamental function to be used to generate alarms, trend analysis or technical risk ...and ... See full document
66
Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.
... decades, complex networks have attracted lots of attention in scientific and technological fields including mathematics, physics, engineering, biological sciences, and so on ...about complex ... See full document
16
A Novel Fuzzy Time Series Model Based on Fuzzy Logical Relationships Tree
... future based on historical observations in various do- mains, such as air pollution, stock forecasting and ...traditional time series analysis cannot handle the perturbation in ... See full document
6
Agent-based distributed time series forecasting system
... is based almost only on the theory of probability and mathematical ...technical analysis (using artificial neural networks, pattern recognition, genetic algorithms, ...of complex models ... See full document
11
Threshold Generalization of a Contagion Model on Complex Networks
... each time a person hears a rumor, he has a probability of believing in it (or to deem it relevant enough to share with his friends) from each source, and only if he is convinced of this rumor from k different ... See full document
176
On the Characterization and Comparison of Complex Networks
... of networks is their dynamics and it is important to reflect this feature in role ...is time-dependent and the roles of users are tied to their historical ...done on it. Rossi et al. [RGNH12] used ... See full document
165
Gender gap developments in tertiary education : a cross-country time-series analysis on European level
... their analysis to US data only and, contrary to Pekkarinen (2012), do not find significant gender differences in the benefits of ...is based on longitu- dinal data, focuses on gender differences ... See full document
77
A feature fusion based forecasting model for financial time series.
... conducting time series prediction ...focuses on the closing price movement from the influence of the historical data, while MICA-SVR is concerned about influence from other technical ...lation ... See full document
13
On reconstruction of time series in climatology
... this analysis to reconstruct past values of the time series on the basis of observations made during a relatively short and recent time ...is based upon autoregressive ... See full document
28
Wavelet Cross-correlation in Bivariate Time-Series Analysis
... used. On the contrary, decimated discrete transforms are non redundant, so they are attractive for prac- tical applications; however, they are not the best option for time series because of the ... See full document
13
Statistical analysis of count time series with periodic structure
... Focusing on the specific case of the BINAR(1) model that arises through the assumption of bivariate Poisson innovations, Pedeli and Karlis (2013b) considered some alternative estima- tors for the unknown parameters ... See full document
226
MODIS TIME SERIES ANALYSIS AND TRMM IN EUCALYPTUS PLANTATIONS
... photosynthesis. Based on the complexity of electromagnetic radiation (REM) interactions with plant canopies, indices were created that highlight the differences between the large REM absorption in the ... See full document
11
Change-point detection in environmental time series based on the informational approach
... mainly based on both the normal model and the temporal uncorrelation, and don’t take into account other possible time series properties such as seasonality and ...is based on the ... See full document
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