Advertisement

Broad Learning Through Fusions

An Application on Social Networks

  • Jiawei Zhang
  • Philip S. Yu
Textbook

Table of contents

  1. Front Matter
    Pages i-xv
  2. Background Introduction

    1. Front Matter
      Pages 1-1
    2. Jiawei Zhang, Philip S. Yu
      Pages 3-17
    3. Jiawei Zhang, Philip S. Yu
      Pages 19-75
    4. Jiawei Zhang, Philip S. Yu
      Pages 77-126
  3. Information Fusion: Social Network Alignment

    1. Front Matter
      Pages 127-127
    2. Jiawei Zhang, Philip S. Yu
      Pages 129-164
    3. Jiawei Zhang, Philip S. Yu
      Pages 165-202
    4. Jiawei Zhang, Philip S. Yu
      Pages 203-226
  4. Broad Learning: Knowledge Discovery Across Aligned Networks

    1. Front Matter
      Pages 227-227
    2. Jiawei Zhang, Philip S. Yu
      Pages 229-273
    3. Jiawei Zhang, Philip S. Yu
      Pages 275-314
    4. Jiawei Zhang, Philip S. Yu
      Pages 315-349
    5. Jiawei Zhang, Philip S. Yu
      Pages 351-384
    6. Jiawei Zhang, Philip S. Yu
      Pages 385-413
  5. Future Directions

    1. Front Matter
      Pages 415-415
    2. Jiawei Zhang, Philip S. Yu
      Pages 417-419

About this book

Introduction

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.

Keywords

data mining machine learning fusion learning social networks network alignment

Authors and affiliations

  • Jiawei Zhang
    • 1
  • Philip S. Yu
    • 2
  1. 1.Department of Computer ScienceFlorida State UniversityTallahasseeUSA
  2. 2.Department of Computer ScienceUniversity of IllinoisChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-12528-8
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-12527-1
  • Online ISBN 978-3-030-12528-8
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Engineering