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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Big Data
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2022, 2022
ISBN 10: 9811697086 ISBN 13: 9789811697081
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.
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Taschenbuch. Condition: Neu. Big Data | 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers | Xiangke Liao (u. a.) | Taschenbuch | xvii | Englisch | 2022 | Springer Singapore | EAN 9789811697081 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Big Data : 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers
Published by Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811697086 ISBN 13: 9789811697081
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research ontheoretical and technical aspects on big data, as well as on digital economy demands in big data applications.
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paperback. Condition: Good. Topic map bar spend.
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conductive and antistatic polymer materials technology and applications(Chinese Edition)
Published by China Textile Press Pub. Date :2006-05-01, 2006
ISBN 10: 750643721X ISBN 13: 9787506437219
Soft cover. Condition: New. Language:Chinese.Author:ZHAO ZE LIAO CHEN XIAO LI.Binding:Soft cover.Publisher:China Textile Press Pub. Date :2006-05-01.
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paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.IllustrationsFour Satisfaction guaranteed,or money back.
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paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.The illustration . Chan Yuk first. Positions Andy. Yuanzheng Yang. Zhao Xiwei. Liao ZongyiFour Satisfaction guaranteed,or money back.
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paperback. Condition: Good. Illustration --- Chen Xiao Bao Yuan Zhengyang Zhaoxi Wei Liao Zongyi first position.
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Big Data
Published by Springer Nature Singapore Jan 2022, 2022
ISBN 10: 9811697086 ISBN 13: 9789811697081
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research ontheoretical and technical aspects on big data, as well as on digital economy demands in big data applications. 344 pp. Englisch.
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Big Data
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811697086 ISBN 13: 9789811697081
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big.
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