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
| 업데이트 일시 | 가격 |
|---|---|
| 2026-08-08 | 39,99 |
| 2026-08-14 | 35,99 |
| 2026-08-15 | 51,99 |
| 판매자 | Product price | Delivery | 합계 | 재고 여부 | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 7 149,00 JPY | 25,00 JPY | 7 174,00 JPY | 구매 가능 | 5일 전 | View offer |
| SP Springer Nature Author | 7 149,00 JPY | 29,00 JPY | 7 178,00 JPY | 구매 가능 | 1주 전 | View offer |
| SP SpringerNatureLink Shop INT | 49,99 USD | free | 49,99 USD | 구매 가능 | 6일 전 | View offer |
| SP SpringerNatureLink Shop INT | 54,99 USD | free | 54,99 USD | 구매 가능 | 6일 전 | View offer |
| SP SpringerNatureLink Shop INT | 54,99 USD | free | 54,99 USD | 구매 가능 | 6일 전 | View offer |
| SP SpringerNatureLink Shop INT | 59,00 EUR | free | 59,00 EUR | 구매 가능 | 6일 전 | View offer |
가격과 재고 여부는 변경될 수 있습니다. 마지막 업데이트: 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.