 | Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation Subjects: Computer Science; Engineering & Technology; Mathematics & Statistics; Databases; Systems & Control Engineering; Statistics & Probability; Data Preparation & Mining; Machine Learning; Statistics; 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 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. |
