Accelerating discovery mining unstructured information for hypothesis generation
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
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press
2016
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series
37 |
| Subjects: | |
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Table of Contents:
- Introduction
- Why Accelerate Discovery?
- Form and Function
- Exploring Content to Find Entities
- Organization
- Relationships
- Inference
- Taxonomies
- Orthogonal Comparison
- Visualizing the Data Plane
- Networks
- Examples and Problems
- Problem: Discovery of Novel Properties of Known Entities
- Problem: Finding New Treatments for Orphan Diseases from Exisiting Drugs