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| book details |
From Security to Community Detection in Social Networking Platforms
Edited by
Panagiotis Karampelas
, Edited by
Jalal Kawash
, Edited by
Tansel Özyer
| on special |
normal price: R 6 595.95
Price: R 6 266.95
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| book description |
This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.
| product details |
Normally shipped |
Available from overseas. Usually dispatched in 14 days
Publisher |
Springer Nature Switzerland AG
Published date |
10 Apr 2019
Language |
Format |
Hardback
Pages |
237
Dimensions |
235 x 155 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-3-0301-1285-1
Readership Age |
BISAC |
computers / database management / data mining
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Helgoland: The Strange and Beautiful Story of Quantum Physics
Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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The Order of Time
Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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The Coming Wave: AI, Power and Our Future
Mustafa Suleyman
Paperback / softback
352 pages
was: R 295.95
now: R 265.95
Stock is usually dispatched in 6-12 days from date of order
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