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Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge

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Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge
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17 174,00 JPY
Typical price1 076,18 PLN
Lowest (90 days)87,50 PLN
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Last updated1 săptămână în urmă
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2026-08-08 2026-08-15
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2026-08-0887,50
2026-08-1587,50
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SP SpringerNatureLink Shop INT 17 159,00 JPY 15,00 JPY 17 174,00 JPY Disponibil 1 săptămână în urmă View offer
SP Springer Nature Author 17 159,00 JPY free 17 159,00 JPY Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 119,99 USD 29,00 USD 148,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 129,99 USD 29,00 USD 158,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 129,99 USD 25,00 USD 154,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 142,00 EUR free 142,00 EUR Disponibil 1 săptămână în urmă View offer

Prețurile și disponibilitatea se pot modifica. Ultima actualizare: 08.08.2026 22:18.

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This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency.

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