In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
This paper presents an extensible architecture that can be used to support the integration of biological data sets. Biological research frequently requires this kind of synthesis....
Michael Maibaum, Galia Rimon, Christine A. Orengo,...
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
The need for information integration is paramount in many biological disciplines, because of the large heterogeneity in both the types of data involved and in the diversity of app...