Accelerating Discovery : Mining Unstructured Information for Hypothesis Generation PDF
by Scott (IBM Research, San Jose, California, USA) Spangler
Part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series series
Description
Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important.
Accelerating Discovery: Mining Unstructu
Information
-
Download - Immediately Available
- Format:PDF
- Pages:292 pages
- Publisher:Taylor & Francis Inc
- Publication Date:18/09/2015
- Category:
- ISBN:9781482239140
Information
-
Download - Immediately Available
- Format:PDF
- Pages:292 pages
- Publisher:Taylor & Francis Inc
- Publication Date:18/09/2015
- Category:
- ISBN:9781482239140