TY - JOUR
T1 - Mining knowledge from interconnected data
T2 - A heterogeneous information network analysis approach
AU - Sun, Yizhou
AU - Han, Jiawei
AU - Yan, Xifeng
AU - Yu, Philip S.
PY - 2012/8
Y1 - 2012/8
N2 - Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semi-structured information networks. However, most people consider a database merely as a data repository that supports data storage and retrieval rather than one or a set of heterogeneous information networks that contain rich, inter-related, multi-typed data and information. Most network science researchers only study homogeneous networks, without distinguishing the different types of objects and links in the networks. In this tutorial, we view database and other interconnected data as heterogeneous information networks, and study how to leverage the rich semantic meaning of types of objects and links in the networks. We systematically introduce the technologies that can effectively and efficiently mine useful knowledge from such information networks.
AB - Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semi-structured information networks. However, most people consider a database merely as a data repository that supports data storage and retrieval rather than one or a set of heterogeneous information networks that contain rich, inter-related, multi-typed data and information. Most network science researchers only study homogeneous networks, without distinguishing the different types of objects and links in the networks. In this tutorial, we view database and other interconnected data as heterogeneous information networks, and study how to leverage the rich semantic meaning of types of objects and links in the networks. We systematically introduce the technologies that can effectively and efficiently mine useful knowledge from such information networks.
UR - http://www.scopus.com/inward/record.url?scp=84873201254&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873201254&partnerID=8YFLogxK
U2 - 10.14778/2367502.2367566
DO - 10.14778/2367502.2367566
M3 - Article
AN - SCOPUS:84873201254
VL - 5
SP - 2022
EP - 2023
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
SN - 2150-8097
IS - 12
ER -