Link Prediction in Data Science: Including Proximity-based Methods and Supervised Machine Learning Models
by Omed Hassan Ahmed, Mehdi Hosseinzadeh, Gholamreza Zare, Pegah Malekpour Alamdari
Link Prediction in Data Science presents an overview of link prediction, with attention to proximity-based methods and supervised machine learning models. It offers a focused introduction to approaches for studying potential connections in data, making it a useful reference for readers exploring this area of data science.
About This Book
This book focuses on link prediction within the field of data science.
It includes proximity-based methods for examining potential connections in data.
The book also covers supervised machine learning models as part of the study of link prediction.
It is intended for readers seeking an overview of methods used to approach link prediction problems.
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