國立虎尾科技大學 |

Broad Learning Through Fusions = An Application on Social Networks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Broad Learning Through Fusions/ by Jiawei Zhang, Philip S. Yu.
其他題名:	An Application on Social Networks /
作者:	Zhang, Jiawei.
其他作者:	Yu, Philip S.
面頁冊數:	XV, 419 p. 104 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-030-12528-8
ISBN:	9783030125288

Broad Learning Through Fusions = An Application on Social Networks /
Zhang, Jiawei.

Broad Learning Through FusionsAn Application on Social Networks /[electronic resource] :by Jiawei Zhang, Philip S. Yu. - 1st ed. 2019. - XV, 419 p. 104 illus., 81 illus. in color.online resource.

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.

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.

ISBN: 9783030125288

Standard No.: 10.1007/978-3-030-12528-8doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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