HDC Patent for Data mining platform for knowledge discovery from heterogeneous data types

A data mining platform for generating an output comprising knowledge discovered from analysis of a plurality of data sets comprising heterogeneous data types or data from heterogeneous data sources, wherein the data points within the data sets comprise a plurality of descriptive features of varied relevance to knowledge discovery, the platform comprising: a computer system programmed to implement a plurality of modules stored within a system memory, each module adapted for processing one data type of the plurality of heterogeneous data types

ALEXANDRIA, Va., April 6 --
Health Discovery Corporation, Savannah, Ga., has been assigned a patent for a Patent

"data mining platform for knowledge discovery from heterogeneous data types and/or heterogeneous data sources" (7,921,068).

The co-inventors are Isabelle Guyon, Berkeley, Calif., Edward P. Reiss, San Francisco, Rene Doursat, Sun Valley, Nev., and Jason Aaron Edward Weston, New York.

Abstract: The data mining platform comprises a plurality of system modules, each formed from a plurality of components. Each module has an input data component, a data analysis engine for processing the input data, an output data component for outputting the results of the data analysis, and a web server to access and monitor the other modules within the unit and to provide communication to other units. Each module processes a different type of data, for example, a first module processes microarray (gene expression) data while a second module processes biomedical literature on the Internet for information supporting relationships between genes and diseases and gene functionality. In the preferred embodiment, the data analysis engine is a kernel-based learning machine, and in particular, one or more support vector machines (SVMs). The data analysis engine includes a pre-processing function for feature selection, for reducing the amount of data to be processed by selecting the optimum number of attributes, or "features", relevant to the information to be discovered.