On the efficient dynamical financial analysis computation supported by UML(VR)

On the efficient dynamical financial analysis computation supported by UML(VR)

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Business intelligence in economic forecasting
1. Verfasser: Kotulski, Leszek (VerfasserIn)
Weitere Verfasser: Tusiewicz, Marcin (VerfasserIn), Dymek, Dariusz (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2010
Schlagworte:
Aufsatz im Buch
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Macroeconomic forecasting using genetic programming based vector error correction model 2010 Chen, Xi
Bankruptcy prediction using principal component analysis based neural network models 2010 Pai, G. A. Rekha
Forecasting crude oil demand using a hybrid SVR and Markov approach 2010 Xu, Wei
Implementing business intelligence in electricity markets 2010 Cancelo de la Torre, José Ramón
Logistic analysis of business cycles, economic bubbles and crises 2010 Girdzijauskas, Stasys A.
Economic analysis of systems under a monopoly based on a reliability-quality index 2010 Koide, Takeshi
A confidence-based rbf neural network ensemble learning paradigm with application to delinquent prediction for credit risk management 2010 Yu, Lean
Empirical evaluation of ensemble learning for credit scoring 2010
Increasing translation invariant morphological forecasting models for stock market prediction 2010 Araújo, Ricardo de A.
On the efficient dynamical financial analysis computation supported by UML(VR) 2010 Kotulski, Leszek
Time series based house sale value market forecasting using genetically evolved neural networks 2010
Electricity demand forecasting 2010 Elkarmi, Fawwaz
Electricity load forecasting using machine learning techniques 2010 Acera, Manuel Martín-Merino
A visualization and clustering approach to analyzing the early warning signals of currency crises 2010
A mixture price trend model for long-term risk management 2010 Fung, Eric S.
Economic forecasting techniques and their applications 2010
Analysis and forecasting of port logistics using TEII methodology 2010
Alle Artikel auflisten