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Text mining is a new and exciting area of computer science that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches, ending with real-world applications.
| Autorius: | Ronen Feldman, James Sanger, |
| Leidėjas: | Cambridge University Press |
| Išleidimo metai: | 2013 |
| Knygos puslapių skaičius: | 424 |
| ISBN-10: | 0521836573 |
| ISBN-13: | 9780521836579 |
| Formatas: | 260 x 183 x 27 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data“
