With the current explosion of data, retrieving and integrating information from various sources is a critical problem. Work in multidatabase systems has begun to address this problem, but it has primarily focused on methods for communicating between databases and requires significant effort

, the characteristics of a webpage can be derived from both its content part and its associated links. To address the problem of learning good hashing codes in this scenario, we propose a novel research problem – Com-posite Hashing with Multiple Information Sources (CHMIS). The focus of the new research problem

Many applications are facing the problem of learning from an objective dataset, whereas information from other auxiliary sources may be beneficial but cannot be integrated into the objective dataset for learning. In this paper, we propose an omni-view learning approach to enable learning from

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LS-SNP: large-scale annotation of coding non-synonymous

We consider the problem in which we must fuse individual lists of retrieved documents o obtain a single ordered list of recommended documents from multiple information sources. A parameterized procedure is presented. A formulation of the multiple list fusion problem in terms of mathematical

framework for both newswire and web corpora. In all cases, our combination of multiple information sources for query formulation is found to be more effective than using any single source. The proposed query formulations are especially advantageous for large scale web corpora, where they also reduce

. Access and cross-fertilization of multiple information sources is crucial for most Computer Aided Decision Systems. While most of the potential sources may be easily accessed separately by the system, their integration within a homogeneous framework requires a formal representation

multiple information sources yields significantly better results than using a single source. In these tasks each of the multiple data sources can be thought of as providing one view of the underlying object. However in many domains not all of the views are available for the available instances; some

It is argued that the structured psychiatric interview, which has become the foundation of much modern clinical research, is not a sufficient method of documenting an episode of psychotic illness. This valuable resource needs to be supplemented by a high standard of recorded observation through-out hospitalization by all staff in contact with the patient. The con-version of observations into rat-ings can involve considerable er-ror and should be left to at least