Xinghai Ju1, Jicang Lu1,*, Xiangyang Luo1, Gang Zhou1, Shiyu Wang1, Shunhang Li1, Yang Yang2,3
CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3247-3267, 2022, DOI:10.32604/cmc.2022.026698
Abstract For Internet forum Points of Interest (PoI), existing analysis methods are usually lack of usability analysis under different conditions and ignore the long-term variation, which lead to blindness in method selection. To address this problem, this paper proposed a PoI variation prediction framework based on similarity analysis between long and short windows. Based on the framework, this paper presented 5 PoI analysis algorithms which can be categorized into 2 types, i.e., the traditional sequence analysis methods such as autoregressive integrated moving average model (ARIMA), support vector regressor (SVR), and the deep learning methods such as convolutional neural network (CNN), long-short… More >
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