Learn More
To harness the rich amount of information available on the Web today, many organizations start to aggregate public (and private) data to derive new knowledge bases. A fundamental challenge in constructing an accurate integrated knowledge repository from different data sources is to understand how facts across different sources are related to one another(More)
The rapidly increasing scale of data warehouses is challenging today’s data analytical technologies. A conventional data analytical platform processes data warehouse queries using a star schema — it normalizes the data into a fact table and a number of dimension tables, and during query processing it selectively joins the tables according to users’ demands.(More)
The work described in this paper addresses the problems of fault diagnosis in complex multicircuit transmission systems, in particular those arising due to mutual coupling between the two parallel circuits under different fault conditions; the problems are compounded by the fact that this mutual coupling is highly variable in nature. In this respect,(More)
Aspect-Oriented Programming (AOP) can effectively solve the code-tangling and code-scattering which are caused by crosscutting attributes. However, much work is presented on the programming and the implementation phase, and few works have addressed the early model stages. This paper aims at applying AOP in the phrase of requirements engineering. On the(More)
The rapid growth of information sources on the Web has intensified the problem of data quality. In particular, the same real world entity may be described by different sources in various ways with overlapping information, and possibly conflicting or even erroneous values. In order to obtain a more complete and accurate picture for a real world entity, we(More)
OBJECTIVES To describe the risk factors associated with death in pregnant women with severe pandemic H1N1 infection. DESIGN Case-control study. SETTING Anhui, China. PARTICIPANTS A total of 46 pregnant women with severe pandemic H1N1 infection were studied during June 2009-April 2011. PRIMARY AND SECONDARY OUTCOME MEASURES All the cases were(More)