Big data from dynamic pricing: A smart approach to tourism demand forecasting

A technical analysis approach to tourism demand forecasting

C. Petropoulos, K. Nikolopoulos*, A. Patelis and V. Assimakopoulos Forecasting Systems Unit, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str, 15773 Zografou Athens, Greece Lancaster Centre for Forecasting, Department of Management Science, Lancaster University Management School, Lancaster LA1 4YX, UK Secretary for the Information...

Dynamic Panel Data Analysis Of European Tourism Demand In Malaysia

Analyzing and Forecasting Tourism Demand: A Rough Sets Approach

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Forecasting Ozone Density in Tehran Air Using a Smart Data-Driven Approach

Introduction: As a metropolitan area in Iran, Tehran is exposed to damage from air pollution due to its large population and pollutants from various sources. Accordingly, research on damage induced by air pollution in this city seems necessary. The main purpose of this study was to forecast ozone in the city of Tehran. Considering the hazards of ozone (O3) gas on human health and the environmen...