Environmental issues and risk have become central in socioeconomic research and policy planning in order to ensure sustainable development. As environmental risk is difficult to assess and measure, different indexes have been developed to evaluate specific aspects of such risk. Environmental risk typically involves problems generated by the consumption of energy (fuels), water shortages, disast...

Environmental issues have become increasingly important in economic research and policy for sustainable development. Such issues are tracked by the Dow Jones Sustainable Indexes (DJSI) through financial market indexes that are derived from the Dow Jones Global Indexes. The environmental sustainability activities of firms are assessed using criteria in three areas, namely economic, environmental...

Selective search is a distributed retrieval architecture that intentionally creates skewed postings and access patterns. This work shows that the well-known QtfDf inverted list caching algorithm is as effective with topicallypartitioned indexes as it is with randomly-partitioned indexes. It also shows that a mixed global-local strategy reduces total I/O without harming query hit rates.

Why is this topic of house price indexes important? The Global Financial Crisis has several causes but a main cause was a housing bubble in the U.S. which led banks to make mortgage loans that were based on the assumption that house prices were not rising unusually quickly. If accurate regional house price indexes for the U.S. would have been widely available to the public, it is unlikely that ...

In this paper, computational data mining methodology was used to predict four major stock market indexes. Two learning algorithms including Linear Regression and Neural Network Standard Back Propagation (SBP) were tested and compared. The models were trained from two years of historical data from January 2006 to December 2007 in order to predict the major stock prices indexes in the United Stat...

The management of urban sprawl is fundamental to achieving sustainable urban development. Monitoring urban sprawl is, however, challenging. This study proposes the use of two spatial statistics, namely global Moran and local Moran to indentify statistically significant urban sprawl hot and cold spots. The findings reveal that the Moran indexes are sensitive to the distance band spatial weight m...