A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.
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François Fouss received his PhD from the Université catholique de Louvain, Belgium, where he is now Professor of Computer Science. His research and teaching interests include artificial intelligence, data mining, machine learning, pattern recognition, and natural language processing, with a focus on graph-based techniques.
Marco Saerens received his PhD from the Université Libre de Bruxelles, Belgium. He is now Professor of Computer Science at the Université catholique de Louvain, Belgium. His research and teaching interests include artificial intelligence, data mining, machine learning, pattern recognition, and natural language processing, with a focus on graph-based techniques.
Masashi Shimbo received his PhD from Kyoto University, Japan. He is now Associate Professor at the Graduate School of Information Science, Nara Institute of Science and Technology, Japan. His research and teaching interests include artificial intelligence, data mining, machine learning, pattern recognition, and natural language processing, with a focus on graph-based techniques.
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Da: AwesomeBooks, Wallingford, Regno Unito
hardcover. Condizione: Very Good. Algorithms and Models for Network Data and Link Analysis This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9781107125773
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