说明 发表于 2025-3-30 11:56:17
Crisis Year 2020: Analysis of Finnish Manufacturing Companies’ Twitter Activity 915 tweets and their contents were analyzed. Frequently used words and n-grams are reflected with the financial performance of said companies and developments of Covid-19 pandemic during that year. The overall activity is observed to somewhat correlate with the recorded Covid-19 infections, howevermiracle 发表于 2025-3-30 12:46:56
http://reply.papertrans.cn/43/4291/429062/429062_52.png伸展 发表于 2025-3-30 18:31:05
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individuallyines, and reassemble both information to generate a prediction which preserves the characteristics of an intermittent time series. We compare the results against Croston’s approach, as well as recent forecast procedures where no split is performed.BANAL 发表于 2025-3-30 22:14:00
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model e best possible model based on the characteristics of a time series. The approach was developed and evaluated on a dataset from a B2B-technical-retailer. The machine learning classification algorithm achieves a mean ROC-AUC of 89%, which emphasizes the skill of the model.