Using Bigdata for Choosing the Right Forecasting Method, Dataset and Period in a Time Series Analysis

Authors : Serap Akcan, Murat Akcıl, Metin Özşahin

Pages : 437-452

Doi:10.21605/cukurovaumfd.1514451

View : 23 | Download : 46

Publication Date : 2024-07-11

Article Type : Research Paper

Abstract :Nowadays especially production companies gathering a huge data due to their daily transactions on the own systems. Production companies should handle this raw data as handling the raw materials too. Today, scientific studies carried out for this purpose are gathered under the title of BigData. The BigData creates many helps to companies’ competitive advantages according to their competitors. For this view, the purpose of this study was to determine the best demand forecasts method and forecasting period by using BigData at forest production industry. Using the time series analysis module of the WEKA program, the algorithm and data set providing the most accurate estimate for each of the selected decor papers were determined. As a result, it is thought that this study will provide a route map for about choosing right data period and forecasting method for the forest products.
Keywords : Büyük veri, Veri madenciliği, Zaman serisi analizi, Talep tahmini, Orman ürünleri sektörü