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user:namhuynh:research [2019/02/07 18:12]
namhuynh [Research Summary]
user:namhuynh:research [2019/02/09 22:53] (current)
namhuynh [Research Summary]
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         * Hybrid models (ARIMA, neural networks, etc.) for prediction with time series data.         * Hybrid models (ARIMA, neural networks, etc.) for prediction with time series data.
         * Algorithms for sentiment analysis of customer reviews and recommender systems.         * Algorithms for sentiment analysis of customer reviews and recommender systems.
 +        * Algorithms for anomaly detection/​prediction for intelligent decision support.
    - Decision analysis. This research aims to develop decision methodologies that combine methods in operations research with CI techniques to support decision making under various types of uncertainty and imprecision.    - Decision analysis. This research aims to develop decision methodologies that combine methods in operations research with CI techniques to support decision making under various types of uncertainty and imprecision.
        * Evidential reasoning approaches to multi-attribute decision making under uncertainties.        * Evidential reasoning approaches to multi-attribute decision making under uncertainties.