Hidden Link Prediction in Stochastic Social Networks is popular PDF and ePub book, written by Pandey, Babita in 2019-05-03, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hidden Link Prediction in Stochastic Social Networks can be Read Online from any device for your convenience.
Hidden Link Prediction in Stochastic Social Networks Book PDF Summary
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 links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.
Detail Book of Hidden Link Prediction in Stochastic Social Networks PDF
- Author : Pandey, Babita
- Release : 03 May 2019
- Publisher : IGI Global
- ISBN : 9781522590972
- Genre : Computers
- Total Page : 281 pages
- Language : English
- PDF File Size : 13,8 Mb
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