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Viac informácií o knihe Broad Learning Through Fusions

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 135 bodov

Anotácia knihy

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.

Parametre knihy

• Celý názov: Broad Learning Through Fusions
• Podnázov: An Application on Social Networks
• Autor: Jiawei Zhang, Philip S. Yu
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 419
• EAN: 9783030125301
• ISBN: 3030125300
• ID: 33123831
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 824 g
• Rozmery: 254 × 178 × 23 mm
• Dátum vydania: 14. August 2020

Obľúbené z iného súdka

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