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Download the fantastic book titled Machine Learning Techniques for Online Social Networks written by Tansel Özyer, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning Techniques for Online Social Networks", which was released on 30 May 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Social Science genre.

Summary of Machine Learning Techniques for Online Social Networks by Tansel Özyer PDF

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.

Machine Learning Techniques for Online Social Networks

Detail About Machine Learning Techniques for Online Social Networks PDF

  • Author : Tansel Özyer
  • Publisher : Springer
  • Genre : Social Science
  • Total Pages : 236 pages
  • ISBN : 3319899325
  • PDF File Size : 31,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Machine Learning Techniques for Online Social Networks by Tansel Özyer. This book is available in ePub and PDF format with a single click unlimited downloads.

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Machine Learning Techniques for Online Social Networks

Machine Learning Techniques for Online Social Networks
  • Publisher : Springer
  • File Size : 23,6 Mb
  • Release Date : 30 May 2018
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The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies

Hidden Link Prediction in Stochastic Social Networks

Hidden Link Prediction in Stochastic Social Networks
  • Publisher : IGI Global
  • File Size : 41,9 Mb
  • Release Date : 03 May 2019
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Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden

Broad Learning Through Fusions

Broad Learning Through Fusions
  • Publisher : Springer
  • File Size : 21,8 Mb
  • Release Date : 08 June 2019
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This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple

Online Social Networks Security

Online Social Networks Security
  • Publisher : CRC Press
  • File Size : 38,9 Mb
  • Release Date : 26 February 2021
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In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These

Learning Automata Approach for Social Networks

Learning Automata Approach for Social Networks
  • Publisher : Springer
  • File Size : 49,6 Mb
  • Release Date : 22 January 2019
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This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to

Big Data Analytics

Big Data Analytics
  • Publisher : CRC Press
  • File Size : 38,5 Mb
  • Release Date : 12 December 2018
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Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a

The Influence of Technology on Social Network Analysis and Mining

The Influence of Technology on Social Network Analysis and Mining
  • Publisher : Springer Science & Business Media
  • File Size : 21,9 Mb
  • Release Date : 15 March 2013
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The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis