In the present paper we suggest and test a general model that aims to explain the determinants and the extent of parallel moving (i.e. the synchronization) of trading ports activities. The model adopts a macro-approach and its main constituents are a) the business cycle (GDP) convergence, b) the...

Forecasting container throughput is critical for improved port planning, operations, and investment strategies. Reliability of forecasting methods need to be ensured before utilizing their outcomes in decision making. This study compares forecasting performances of various time series methods,...

In this paper we study the impact of port activities on local employment by analyzing a sample of about 560 regions located in ten West European countries and observed over the period 2000–2006. The biggest European ports of OECD countries belong to our sample, which includes 116 ports. The...

The paper aims to explain the evolution of the containerized and general cargo maritime routes in the last 3 years using complex networks analysis. Several particular results are searched: which ports are currently rising or dwindling in throughput; how is the structure of their network...

This paper mainly discusses the use of mutual information (MI) and Support Vector Machines (SVMs) for Uyghur Web text classification and digital forensics process of web text categorization: automatic classification and identification, conversion and pretreatment of plain text based on encoding...

Building classification models from real-world datasets became a difficult task, especially in datasets with high dimensional features. Unfortunately, these datasets may include irrelevant or redundant features which have a negative effect on the classification performance. Selecting the...