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" Accelerating discovery : "
Scott Spangler, IBM research, San Jose, California, USA.
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BL
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| Record Number
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723319
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b543033
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| Main Entry
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Scott Spangler, IBM research, San Jose, California, USA.
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| Title & Author
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Accelerating discovery : : mining unstructured information for hypothesis generation\ Scott Spangler, IBM research, San Jose, California, USA.
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| Publication Statement
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Boca Raton: CRC Press, is an imprint of the Taylor & Francis Group, an Informa business, [2016] ©20
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| Series Statement
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Chapman & Hall/CRC data mining and knowledge discovery series, 37.
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: text file, PDF.
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| ISBN
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1482239140
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: 9781482239140
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| Notes
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A Chapman & Hall book.
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| Contents
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Chapter 1. Introduction --;chapter 2. Why accelerate discover? / Scott Spangler and Ying Chen --;chapter 3. Form and function --;chapter 4. Exploring content to find entities --;chapter 5. Organization --;chapter 6. Relationships --;chapter 7. Inference --;chapter 8. Taxonomies --;chapter 9. Orthogonal comparison --;chapter 10. Visualizing the data plane --;chapter 11. Networks --;chapter 12. Examples and problems --;chapter 13. Problem : discovery of novel properties of known entities --;chapter 14. Problem : finding new treatments for orphan diseases from existing drugs --;chapter 15. Example : target selection based on protein network analysis --;chapter 16. Example : gene expression analysis for alternative indications --;chapter 17. Example : side effects --;chapter 18. Example : protein viscosity analysis using medline abstracts --;chapter 19. Example : finding microbes to clean up oil spills / Scott Spangler, Zarath Summers, and Adam Usadi --;chapter 20. Example : drug repurposing --;chapter 21. Example : adverse events --;chapter 22. Example : P53 kinases --;chapter 23. Conclusion and future work.
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| Abstract
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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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| Subject
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Data mining.
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| Subject
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Science -- Information resources.
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Science -- Methodology.
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| LC Classification
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QA76.9.D343S368 9999
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| Added Entry
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Scott Spangler
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