logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Social Networking Mining Visualization And Security 1st Edition Mrutyunjaya Panda

  • SKU: BELL-4662758
Social Networking Mining Visualization And Security 1st Edition Mrutyunjaya Panda
$ 31.00 $ 45.00 (-31%)

5.0

90 reviews

Social Networking Mining Visualization And Security 1st Edition Mrutyunjaya Panda instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 11.45 MB
Pages: 297
Author: Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang (eds.)
ISBN: 9783319051635, 9783319051642, 3319051636, 3319051644
Language: English
Year: 2014
Edition: 1

Product desciption

Social Networking Mining Visualization And Security 1st Edition Mrutyunjaya Panda by Mrutyunjaya Panda, Satchidananda Dehuri, Gi-nam Wang (eds.) 9783319051635, 9783319051642, 3319051636, 3319051644 instant download after payment.

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.

Related Products