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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Social Network Based Big Data Analysis and Applications (Hardcover, 1st ed. 2018) Loot Price: R3,686
Discovery Miles 36 860
Social Network Based Big Data Analysis and Applications (Hardcover, 1st ed. 2018): Mehmet Kaya, Jalal Kawash, Suheil Khoury,...

Social Network Based Big Data Analysis and Applications (Hardcover, 1st ed. 2018)

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

Series: Lecture Notes in Social Networks

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Loot Price R3,686 Discovery Miles 36 860 | Repayment Terms: R345 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 International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Social Networks
Release date: May 2018
First published: 2018
Editors: Mehmet Kaya • Jalal Kawash • Suheil Khoury • Min-Yuh Day
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 249
Edition: 1st ed. 2018
ISBN-13: 978-3-319-78195-2
Categories: Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN: 3-319-78195-2
Barcode: 9783319781952

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