Accelerating discovery : mining unstructured information for hypothesis generation / Scott Spangler, IBM research, San Jose, California, USA.

Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation describes a novel approach to scientific research that uses unstructured data analysis as a generative tool for new hypotheses.

Bibliographic Details

Online Access:	Full Text (via Taylor & Francis)
Main Author:	Spangler, Scott (Author)
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, is an imprint of the Taylor & Francis Group, an Informa business, [2016]
Series:	Chapman & Hall/CRC data mining and knowledge discovery series ; 37.
Subjects:	Data mining. Science > Information resources. Science > Methodology.