contain the quering, reporting, online analytical processing (OLAP), statistical analysis and forecasting. ALSO company has … it. Also they are not using sales forecasting methods and for this reason their forecasts are not accurate. So applying … Business Intelligence Technologies and forecasting methods are the best solutions to solve these problems. The goal of this …

apyvartinio kapitalo valdymo problemos bei atliktas nustatytų dydžių prognozavimas ir pateikti siūlymai, kaip tobulinti pinigų …

. The ways of estimating the accommodation market demand and forecasting methods are analyzed too. Accommodation demand is …

models (GARCH), which are widely used for forecasting non - stationary time series. GARCH methodology was discussed and non … forecasting model suitability for the analysed data. In the second part of the paper using discussed non - stationary time series … analysis methods stock exchange index volatility tendencies were explored, the best suited mathematical forecasting models were …

, Euro zone and 4 EU countries and to identify the most appropriate forecasting ARIMA model for each time series. First, the … most appropriate ARIMA forecasting model of each time series are identified in the study. Practical investigation is … finalized with the comparison of PPI forecasting models of investigated countries. It has been identified that Austrian ARIMA …

and forecasting processes. The current situation was analyzed: flow and timescale of gas accounting and control process …, importance of gas consumption forecasting, practices of telemetry data use. There were identified problems of two processes: the … gas accounting and control, and forecasting. Existing solutions for each problem were examined. Analyzed what the cost …

the effectiveness of a macro environment analysis, forecasting and investment prospects. Research methodology - examine …

prognozavimas 24 mėn. į priekį, t.y. iki 2010 m. gruodžio mėn. Darbe pateikti gauti rezultatai ir išvados. Taip pat atliktas …

This work is related to the data mining process, Business Intelligence technology and forecasting algorithms. This … paper analyzes the forecasting algorithms, their evaluation methods and data mining technologies. There are a number of … forecasting algorithms. Often there are questions how to choose the algorithm for prediction and how to prepare for work with a …