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Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,578
Discovery Miles 15 780
Repayment Terms: R148 pm x 12*
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Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17,...

Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings (Paperback, 1st ed. 2020)

Min Song, Il-Yeol Song, Gabriele Kotsis, A. Min Tjoa, Ismail Khalil

Series: Lecture Notes in Computer Science, 12393

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Loot Price R1,578 Discovery Miles 15 780 | Repayment Terms: R148 pm x 12*

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The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12393
Release date: September 2020
First published: 2020
Editors: Min Song • Il-Yeol Song • Gabriele Kotsis • A. Min Tjoa • Ismail Khalil
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 410
Edition: 1st ed. 2020
ISBN-13: 978-3-03-059064-2
Categories: Books > Social sciences > Politics & government > Public administration
Books > Computing & IT > General theory of computing > Systems analysis & design
Books > Social sciences > Education > Educational resources & technology > General
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 3-03-059064-X
Barcode: 9783030590642

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