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The 8th International Conference on Time Series and Forecasting
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The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields.
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Keywords
- : financial market volatility
- Accessibility
- all sky images
- anomaly detection
- ARIMA
- automated machine learning
- cloud-base height
- Clustering
- CNN
- Computer science
- Computing & information technology
- convolutional neural network
- COVID-19
- cross-correlation
- DCCA method
- Diagnosis
- dynamic convergence
- dynamic mode decomposition with control
- Economics, finance, business & management
- ecosystem respiration
- energy
- error diagnosis
- faults
- Forecasting
- health forecasting
- hydrological data
- Industry & industrial studies
- Information technology industries
- intensive care unit (ICU)
- K-mean clustering
- K-Means
- longshort-term memory (LSTM)
- LSTM
- Machine learning
- machine learning (ML)
- machinelearning
- Markov chain
- Media, information & communication industries
- mobile data traffic
- model evaluation
- multivariate prediction
- NARNN
- Non-stationary time series
- oil derivatives
- oil production
- ordinal patterns
- outlier detection
- outlier detection in time series
- prediction
- prediction intervals
- predictive maintenance
- privacy
- PV systems
- readmission prediction
- recurrent neural network (RNN)
- retainability
- seq2seq
- shareable data
- Signal processing
- spatial
- spectrum
- stationarity
- structural breaks
- synthetic data
- Temporal
- time delay embedding
- time series
- Time Series Analysis
- time series cluster evaluation
- time series clustering
- time series data
- time series forecasting
- time-series
- time-series forecasting
- unit root
- Utilization
- VAR-DCC-GARCH
- wavelet-based random forest
Links
DOI: 10.3390/books978-3-0365-5452-5Editions