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OverviewFull Product DetailsAuthor: Quan Zheng , David SkillicornPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.367kg ISBN: 9780367573256ISBN 10: 0367573253 Pages: 210 Publication Date: 30 June 2020 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction. The core model. Background. Modelling relationships of different types. Modelling asymmetric relationships. Modelling asymmetric relationships with multiple types. Modelling relationships that change over time. Modelling positive and negative relationships. Signed graph-based semi-supervised learning. Combining directed and signed embeddings. AppendicesReviewsAuthor InformationDavid Skillicorn is a professor in the School of Computing at Queen's University. His undergraduate degree is from the University of Sydney and his Ph.D. from the University of Manitoba. He has published extensively in the area of adversarial data analytics, including his recent books ""Understanding High-Dimensional Spaces"" and ""Knowledge Discovery for Counterterrorism and Law Enforcement"". He has also been involved in interdisciplinary research on radicalisation, terrorism, and financial fraud. He consults for the intelligence and security arms of government in several countries, and appears frequently in the media to comment on cybersecurity and terrorism. Dr. Quan Zheng got his Ph.D. is in the School of Computing from Queen’s University in the year 2016.He has a Master’s degree in Applied Mathematics with a specialization in statistics from Indiana University of Pennsylvania, and a Master’s degree in Computer Science from the University of Ulm, and an undergraduate degree from Darmstadt University of Applied Science. His research interests are in data mining and behavior analysis, particularly social network modeling and graph-based data analysis. He has proposed a few graph algorithms for identifying interested individuals and links, clustering and classification. Tab Content 6Author Website:Countries AvailableAll regions |