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Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series Spangler, Scott (IBM Research, San Jose, California, USA) 1. izdevums
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Accelerating Discovery: Mining Unstructured Information for Hypothesis Generation - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Spangler, Scott (IBM Research, San Jose, California, USA)
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
308 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 30. jūnijs |
| ISBN13 | 9780367575472 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 308 |
| Izmēri | 150 × 220 × 10 mm · 570 g |
| Valoda | Angļu |
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