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Accelerating Discovery

Mining Unstructured Information For Hypothesis Generation

by Scott (Ibm Research, San Jose, California, Usa) Spangler
language: english
Publisher: TAYLOR & FRANCIS LTD, June of 2020 ‧
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This book describes a novel approach to scientific research that uses unstructured data analysis as a generative tool for new hypotheses. The author develops a systematic process for leveraging heterogeneous structured and unstructured data sources, data mining, and computational architectures to make the discovery process faster and more effect

Accelerating Discovery

Mining Unstructured Information For Hypothesis Generation

by Scott (Ibm Research, San Jose, California, Usa) Spangler

Property Description
ISBN: 9780367575472
Publisher: TAYLOR & FRANCIS LTD
Release Date: June of 2020
Language: English
Dimensions: 156 x 234 x 20 mm
Cover: Softcover
Pages: 308
Format: Book
Collection: Chapman & Hall/Crc Data Mining And Knowledge Discovery Series
Categories: Books in English > Science > Mathematics
EAN: 9780367575472