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Wineinformatics

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Wineinformatics
Lowest price (incl. delivery)
7 174,00 JPY
Typical price524,37 PLN
Lowest (90 days)35,99 PLN
Offers6
Last updatedمنذ أسبوع
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Price history (90 days)
Full history
2026-08-08 2026-08-15
سجل الأسعار
تاريخ التحديثالسعر
2026-08-0839,99
2026-08-1435,99
2026-08-1551,99
البائع Product price Delivery الإجمالي التوفر Updated
SP SpringerNatureLink Shop INT 7 149,00 JPY 25,00 JPY 7 174,00 JPY متوفر منذ 6 أيام View offer
SP Springer Nature Author 7 149,00 JPY 29,00 JPY 7 178,00 JPY متوفر منذ أسبوع View offer
SP SpringerNatureLink Shop INT 49,99 USD free 49,99 USD متوفر منذ 6 أيام View offer
SP SpringerNatureLink Shop INT 54,99 USD free 54,99 USD متوفر منذ 6 أيام View offer
SP SpringerNatureLink Shop INT 54,99 USD free 54,99 USD متوفر منذ 6 أيام View offer
SP SpringerNatureLink Shop INT 59,00 EUR free 59,00 EUR متوفر منذ 6 أيام View offer

قد تتغيّر الأسعار والتوفر. آخر تحديث: 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.

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