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Broad Learning Through Fusions [[electronic resource] ] : An Application on Social Networks / / by Jiawei Zhang, Philip S. Yu



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Autore: Zhang Jiawei Visualizza persona
Titolo: Broad Learning Through Fusions [[electronic resource] ] : An Application on Social Networks / / by Jiawei Zhang, Philip S. Yu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XV, 419 p. 104 illus., 81 illus. in color.)
Disciplina: 006.312
Soggetto topico: Data mining
Artificial intelligence
Data structures (Computer science)
Application software
Mathematical statistics
Data Mining and Knowledge Discovery
Artificial Intelligence
Data Structures
Information Systems Applications (incl. Internet)
Probability and Statistics in Computer Science
Persona (resp. second.): YuPhilip S
Nota di contenuto: 1 Broad Learning Introduction -- 2 Machine Learning Overview -- 3 Social Network Overview -- 4 Supervised Network Alignment -- 5 Unsupervised Network Alignment -- 6 Semi-supervised Network Alignment -- 7 Link Prediction -- 8 Community Detection -- 9 Information Diffusion -- 10 Viral Marketing -- 11 Network Embedding -- 12 Frontier and Future Directions -- References.
Sommario/riassunto: This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Titolo autorizzato: Broad Learning Through Fusions  Visualizza cluster
ISBN: 3-030-12528-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337847903321
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