The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating, and cleansing multiple data sources, as well as adding ne...
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
Executive information systems (EIS) that are capable of accessing multiple data sources (both online and offline) for ondemand, ad hoc analysis are needed to support the changing ...
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
An important application of XML is the interchange of electronic data (EDI) between multiple data sources on the Web. As XML data proliferates on the Web, applications will need t...
Because of the heterogeneous nature of multiple data sources, data integration is often one of the most challenging tasks of today's information systems. While the existing l...
Zhengrui Jiang, Sumit Sarkar, Prabuddha De, Debabr...
Infomaster is an information integration system that provides integrated access tomultiple distributed heterogeneous information sources on the Internet, thus giving the illusion ...
Michael R. Genesereth, Arthur M. Keller, Oliver M....
The exponential growth of the web and the extended use of database management systems in widely distributed information systems has brought to the fore the need for seamless interc...
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...