Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation
Author:   Scott Spangler
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367575472


Pages:   308
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
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Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation


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Author:   Scott Spangler
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.566kg
ISBN:  

9780367575472


ISBN 10:   0367575477
Pages:   308
Publication Date:   30 June 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Scott Spangler is a principal data scientist, distinguished engineer, and master inventor in the Watson Innovations Group at the IBM Almaden Research Center. He has been involved with knowledge base and data mining research for the past 25 years. His recent work has applied Watson technology to help accelerate cancer research. He holds 45 patents and is the author of over 30 publications. He received a BS in mathematics from MIT and an MS in computer science from the University of Texas.

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