Setting sale prices correctly is of great importance for firms, and the study forecast time series therefore a relevant topic not only from data science perspective but also an economic applicative one. In this paper, we examine different techniques to applied by Italian food wholesaler, as step towards automation pricing tasks usually taken care human workforce. We consider ARIMA models compar...

To my mother, Ammi. "Cling to her feet, because paradise is there" (Prophet Muhammad).

Many models for change point detection from time series remote sensing images have been developed to date. For forest ecosystems, fire disturbance always an important topic. However, due a lack of benchmark datasets, it is difficult determine which model appropriate. Therefore, we collected and generated dataset specifically detection, named CUG-FFireMCD1. The CUG-FFireMCD1 contains total 132 p...

The most popular cryptocurrency used worldwide is bitcoin. Many everyday folks and investors are now investing in However, it becomes quite difficult to evaluate or foresee the price of bitcoin extremely forecast due its swings. By this point, machine learning has developed a number models examine behaviour using time series data. digital money, different type payment utilising encryption metho...

In this paper we are interested in identifying insightful changes climate observations series, through outlier detection techniques. Discords outliers that cover a certain length instead of being single point the time series. The choice can be critical, leading to works on computing variable discords. This increases number discords, with potential overlapping, subsumption and reduced results. w...

background: water is considered as the main source of life but water resources are limited and nonrenewable. different factors have caused groundwater to decrease. therefore, modeling and predicting groundwater level is of great importance. methods: monthly groundwater level data of about 20 years (october 1991 to february 2012) from the hamadan-bahar plain, west of iran were used based on peiz...

the sales proceeds are the most important factors for keeping alive profitable companies. so sales and budget sales are considered as important parameters influencing all other decision variables in an organization. therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. in this research a coherent so...