Knowledge Management and Data Mining: In Demand Estimation Approach for Perfect Revenue Management

Abstract

Knowledge management and data mining techniques have been widely used in many important applications in both scientific and business domains in recent years. The importance of forecasting has also been exposed in many practical zones. Considering that accurate forecasts are the base for correct decisions in revenue management, the purpose of this paper is to study the role of knowledge management and data mining techniques for a demand estimating process. For this reason this paper deals with neural network structures, which is a data mining technique, for railway passenger demand forecasting. It is advised that information should be made available in specific positions in neural network operations rather than combining all the accessible information at the beginning. The results can be useful for all knowledge based transportation businesses.