clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

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...

Extended Abstract. Forecasting is one of the most important purposes of time series analysis. For many years, classical methods were used for this aim. But these methods do not give good performance results for real time series due to non-linearity and non-stationarity of these data sets. On one hand, most of real world time series data display a time-varying second order structure. On th...