Heterogeneous Information Network Analysis and Applications
Douban
Shi, Chuan, / Yu, Philip S
overblik
This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation.
This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data.
Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.
indhold
Introduction Pages 1-11
Shi, Chuan (et al.)
Survey of Current Developments Pages 13-30
Shi, Chuan (et al.)
Relevance Measure of Heterogeneous Objects Pages 31-60
Shi, Chuan (et al.)
Path-Based Ranking and Clustering Pages 61-96
Shi, Chuan (et al.)
Recommendation with Heterogeneous Information Pages 97-141
Shi, Chuan (et al.)
Fusion Learning on Heterogeneous Social Networks Pages 143-180
Shi, Chuan (et al.)
Schema-Rich Heterogeneous Network Mining Pages 181-199
Shi, Chuan (et al.)
Prototype System Based on Heterogeneous Network Pages 201-217
Shi, Chuan (et al.)
Future Research Directions Pages 219-227
Shi, Chuan (et al.)