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Text Mining and Visualization: Case Studies Using Open-Source Tools - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series 1. izdevums
Text Mining and Visualization: Case Studies Using Open-Source Tools - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chap
297 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 30. jūnijs |
| ISBN13 | 9780367575205 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 348 |
| Izmēri | 150 × 220 × 10 mm · 453 g |
| Valoda | Angļu |
| Redaktors | Chisholm, Andrew |
| Redaktors | Hofmann, Markus |