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Social Network Based Big Data Analysis and Applications (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R2,549
Discovery Miles 25 490
Repayment Terms: R239 pm x 12*
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Social Network Based Big Data Analysis and Applications (Paperback, Softcover reprint of the original 1st ed. 2018): Mehmet...

Social Network Based Big Data Analysis and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)

Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day

Series: Lecture Notes in Social Networks

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Loot Price R2,549 Discovery Miles 25 490 | Repayment Terms: R239 pm x 12*

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This book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Social Networks
Release date: February 2019
First published: 2018
Editors: Mehmet Kaya • Jalal Kawash • Suheil Khoury • Min-Yuh Day
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 249
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-03-008639-8
Categories: Books > Social sciences > General
Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 3-03-008639-9
Barcode: 9783030086398

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