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The dynamic programming (DP) algorithm can be used to find an exact solution of the maximum likelihood estimation of change points in a sequence of data from exponential family. Since the algorithm has a quadratic complexity in data size n, it is computationally burdensome if the data size n is large. In this work, a fast two-stage (TS) algorithm by window method is proposed. The window method is...
Predicting revenue from tenants for an enterprise having several malls cannot be easily done using conventional approach, such as spreadsheet or manual calculations. Such an enterprise has abundant data yet inadequate resources to analyze such data. This paper presents the data mining method, namely the Artificial Neural Network (ANN), to predict the revenue based on the previous data. ANN can help...
Neural Network is a network that resembles a human brain tissue, which may infer a result based on the facts or experience that happened. Many applications have implemented neural network. In this thesis, we compared the stock forecasting result of ANTM (PT Aneka Tam bang) using Artificial Neural Network and ARIMA. ARIMA is a technique of time-series forecasting, which means forecast based on the...
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