Fair Isaac Corporation
Mining and visualizing associations of concepts on a large-scale unstructured data

Abstract:

A problem of finding unknown associations between `concepts` in a given text corpus is addressed. A new framework for computing and visualizing the association between concepts using the generic association measures and the public knowledge available in data sources such as Wikipedia. Indirect association analysis extends the utility of the proposed framework to a broader class of association mining applications including the interesting area of new hypothesis generation.