Wineinformatics
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7 174,00 JPY
Typical price524,37 PLN
Lowest (90 days)35,99 PLN
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Price history (90 days)
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2026-08-08
2026-08-15
| Actualizat la | Preț |
|---|---|
| 2026-08-08 | 39,99 |
| 2026-08-14 | 35,99 |
| 2026-08-15 | 51,99 |
| Vânzător | Product price | Delivery | Total | Disponibilitate | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 7 149,00 JPY | 25,00 JPY | 7 174,00 JPY | Disponibil | 6 zile în urmă | View offer |
| SP Springer Nature Author | 7 149,00 JPY | 29,00 JPY | 7 178,00 JPY | Disponibil | 1 săptămână în urmă | View offer |
| SP SpringerNatureLink Shop INT | 49,99 USD | free | 49,99 USD | Disponibil | 6 zile în urmă | View offer |
| SP SpringerNatureLink Shop INT | 54,99 USD | free | 54,99 USD | Disponibil | 6 zile în urmă | View offer |
| SP SpringerNatureLink Shop INT | 54,99 USD | free | 54,99 USD | Disponibil | 6 zile în urmă | View offer |
| SP SpringerNatureLink Shop INT | 59,00 EUR | free | 59,00 EUR | Disponibil | 6 zile în urmă | View offer |
Prețurile și disponibilitatea se pot modifica. Ultima actualizare: 08.08.2026 23:09.
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Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence. Thousands of new wine reviews are produced monthly, which benefits the understanding of wine through wine experts for winemakers and consumers. This book systematically investigates how to process human language format reviews and mine useful knowledge from a large volume of processed data. This book presents a human language processing tool named Computational Wine Wheel to process professional wine reviews and three novel Wineinformatics studies to analyze wine quality, price and reviewers. Through the lens of data science, the author demonstrates how the wine receives 90+ scores out of 100 points from Wine Spectator, how to predict a wine’s specific grade and price through wine reviews and how to rank a group of wine reviewers. The book also shows the advanced application of the Computational Wine Wheel to capture more information hidden in wine reviews and the possibility of extending the wheel to coffee, tea beer, sake and liquors. This book targets computer scientists, data scientists and wine industrial researchers, who are interested in Wineinformatics. Senior data science undergraduate and graduate students may also benefit from this book.