Integrating Predictions in Time Series Model Selection (Unknown language)

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Time series appear in many different domains. The main goal in time series analysis is to find a model for given time series. The selection of time series models is done iteratively based, usually, on information criteria and residual plots. These sources may show only small variations and, therefore, it is necessary to consider the prediction capabilities in the model selection process. When applying the model and including the prediction in an interactive visual interface it is still difficult to compare deviations from actual values or benchmark models. Judging which model fits the time series adequately is not well supported in current methods. We propose to combine visual and analytical methods to integrate the prediction capabilities in the model selection process and assist in the decision for an adequate and parsimonious model. In our approach a visual interactive interface is used to select and adjust time series models, utilize the prediction capabilities of models, and compare the prediction of multiple models in relation to the actual values.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Supporting Historical Research Through User-Centered Visual Analytics
Boukhelifa, Nadia / Giannisakis, Emmanouil / Dimara, Evanthia / Willett, Wesley / Fekete, Jean-Daniel | 2015
7
Inspector Gadget: Integrating Data Preprocessing and Orchestration in the Visual Analysis Loop
Krüger, Robert / Herr, Dominik / Haag, Florian / Ertl, Thomas | 2015
13
Visual Scaffolding in Integrated Spatial and Nonspatial Analysis
Marai, G. Elisabeta | 2015
19
Interactive Image Feature Selection Aided by Dimensionality Reduction
Rauber, Paulo Eduardo / Silva, Renato Rodrigues Oliveira da / Feringa, Sander / Celebi, M. Emre / Falcão, Alexandre X. / Telea, Alexandru C. | 2015
25
The Use of High-Dimensional Visualizations in Explaining Hospital Pricing Patterns
Perkins, Miriam / Grinstein, Georges | 2015
31
Attribute-based Visual Explanation of Multidimensional Projections
Silva, Renato R. O. da / Rauber, Paulo E. / Martins, Rafael M. / Minghim, Rosane / Telea, Alexandru C. | 2015
37
Visual-Interactive Text Analysis to Support Political Decision Making - From Sentiments to Arguments to Policies
Ruppert, Tobias / Bernard, Jürgen / Lücke-Tieke, Hendrik / May, Thorsten / Kohlhammer, Jörn | 2015
43
Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media
Chae, Junghoon / Cui, Yuchen / Jang, Yun / Wang, Guizhen / Malik, Abish / Ebert, David S. | 2015
49
Integrated Spatial Uncertainty Visualization using Off-screen Aggregation
Jäckle, Dominik / Senaratne, Hansi / Buchmüller, Juri / Keim, Daniel A. | 2015
55
Visual Analytics and Uncertainty: Its Not About the Data
MacEachren, Alan M. | 2015
61
Visual Analysis of Relations in Attributed Time-Series Data
Steiger, Martin / Bernard, Jürgen / Schader, Philipp / Kohlhammer, Jörn | 2015
67
Exploration and Assessment of Event Data
Bodesinsky, Peter / Alsallakh, Bilal / Gschwandtner, Theresia / Miksch, Silvia | 2015
73
Integrating Predictions in Time Series Model Selection
Bögl, Markus / Aigner, Wolfgang / Filzmoser, Peter / Gschwandtner, Theresia / Lammarsch, Tim / Miksch, Silvia / Rind, Alexander | 2015
79
Gnaeus: Utilizing Clinical Guidelines for Knowledge-assisted Visualisation of EHR Cohorts
Federico, Paolo / Unger, Jürgen / Amor-Amorós, Albert / Sacchi, Lucia / Klimov, Denis / Miksch, Silvia | 2015
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