Social Networks with Rich Edge Semantics by Quan Zheng
This book introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time.-
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Exploratory Data Analysis Using R
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Advanced Data Science and Analytics with Python
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Automated Data Analysis Using Excel
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Privacy-Aware Knowledge Discovery
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Data Classification
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Statistical Data Mining Using SAS Applications
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Mining Software Specifications
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Contrast Data Mining
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Graph-Based Social Media Analysis
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Computational Business Analytics
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Human Capital Systems, Analytics, and Data Mining
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Practical Graph Mining with R
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Large-Scale Machine Learning in the Earth Sciences
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Support Vector Machines
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Geographic Data Mining and Knowledge Discovery
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Demystifying AI
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Data Science and Machine Learning for Non-Programmers
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Knowledge Discovery from Data Streams
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Data Science and Analytics with Python
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RapidMiner, Second Edition
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Feature Engineering for Machine Learning and Data Analytics
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Text Mining and Visualization
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Text Mining
David 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.
| SKU | Unavailable |
| ISBN 13 | 9781138032439 |
| ISBN 10 | 1138032433 |
| Title | Social Networks with Rich Edge Semantics |
| Author | Quan Zheng |
| Series | Chapman And Hall Crc Data Mining And Knowledge Discovery Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | CRC Press |
| Year published | 2017-08-01 |
| Number of pages | 230 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |