Social Networking: Mining, Visualization, and Security
Language: English
Published by Springer, 2014
Series: Book 39 of 188 - Intelligent Systems Reference Library
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 199.75
Quantity: 2 available
Add to basketItem description from seller
2014 edition. 312 pages. 9.25x6.25x0.75 inches. In Stock.
Seller Inventory # x-3319051636
- Title
- Social Networking: Mining, Visualization, and Security
- Author
- Panda, Mrutyunjaya (Edited by)/ Dehuri, Satchidananda (Edited by)/ Wang, Gi-Nam (Edited by)
- Publisher
- Springer
- Publication year
- 2014
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319051636
- ISBN 13
- 9783319051635
- Item weight
- 0.63 kilograms
- Series
- Book 39 of 188: Intelligent Systems Reference Library
With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
"Synopsis" may belong to another edition of this title.
From the Back Cover
With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques, and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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