The LH5 model for data mining

In the age of E-Business many companies faced with massive data sets that must be analysed for gaining a competitive edge. these data sets are in many instances incomplete and quite often not of very high quality. Although statistical analysis can be used to pre-process these data sets, this technique has its own limitations. In this paper we are presenting a system - and its underlying model - that can be used to test the integrity of existing data and pre-process the data into clearer data sets to be mined. LH5 is a rule-based system, capable of self-learning and is illustrated using a medical data set.

Using official data sources to analyse the light goods vehicle fleet and operations in Britain

Report produced as part of the Green Logistics project (EPSRC and Department for Transport funded). Light goods vehicles play a key role in providing goods and services to businesses and other organisations in Britain. In order to better understand the relationship between costs and benefits of LGV operations it is necessary to gain a more detailed appreciation of the roles that these vehicles are fulfilling. This report aims to provide a better understanding of this sector by examining LGV fleet and operations in terms of their characteristics, utilisation and efficiency and purpose. Important potential external impacts of LGVs are also considered.

The challenge of high cube ISO containers for British rail freight operations

Rail freight activity in Britain has increased by almost 50% in the last ten years, with the movement of deep sea ISO containers between ports and inland terminals being a significant growth sector, with considerable further growth potential. High cube ISO containers have become more prevalent, posing a considerable challenge for rail freight operators since much of the rail network has insufficient loading gauge clearance to carry them on standard wagons. This paper investigates the extent to which rail currently handles high cube container movements to/from ports through the analysis of a representative survey of container trains in 2007. The incidence of high cube containers carried by services on gauge-cleared and non-gauge-cleared routes is identified to assess the extent to which a lack of gauge enhancement affects the movement by rail of high cube containers and to identify the impacts of the lack of gauge clearance on operating efficiency. The paper concludes with an evaluation of the likely consequences of the gauge enhancement schemes for which funding is now committed, assessing the extent to which they will reduce or remove the barriers associated with carrying high cube containers between ports and their hinterlands.